3d:I[70291,["/_next/static/immutable/chunks/3byybp2bb3w2h.js","/_next/static/immutable/chunks/3uytgf_aih3oh.js","/_next/static/immutable/chunks/18s3gqaar5p-u.js","/_next/static/immutable/chunks/0uthazyo52-8r.js","/_next/static/immutable/chunks/0tplu5hk40y7z.js","/_next/static/immutable/chunks/3ahbe8k0rpasp.js","/_next/static/immutable/chunks/2z1ngt0htt7li.js"],"PersonalizedJobList"] 3e:T3f1b,Our Mission At Ophelos, we believe in a different way to deal with debt. One that puts empathy and understanding front and centre, approaching our customers as individuals — no matter what they’re going through. For too long, people in debt have borne the brunt of poor industry practices. Intimidating tactics, time-consuming customer service and a one-size-fits-all approach that overlooks the reasons anyone can fall into debt in the first place. Meanwhile, businesses suffer too. Poor customer experience translates to poor customer satisfaction, high churn rates, bad brand reputation and ultimately missed opportunities. That’s why we’re taking a radically different approach. Pioneering an industry-first AI-native collections platform, we build products that help individuals clear their debts in a way that suits them, whilst providing businesses with an improved customer experience and game-changing insights into their customer base. Since our launch in 2021, we’ve worked with some of the UK’s leading companies, including Octopus, Scottish Power and Philips — helping millions of people move toward a more stable, debt-free future. In 2023, we were acquired by Intrum, Europe’s biggest credit management service and have begun the next phase in our growth — expansion into 17 European markets over the next two years. About Ophelos At Ophelos, we are reimagining credit, collections, and financial health infrastructure across Europe. Our mission is to build fairer, smarter, and more empathetic financial systems through modern software engineering, data science, and thoughtful product design. As we expand into new markets across Europe, we face a core challenge: adapting to complex local banking standards, regulatory requirements, payment systems, and client integrations while maintaining a clean, scalable core platform. That’s where Forward Deployed Engineering comes in. The Role Forward Deployed Engineers (FDEs) make Ophelos work in each market without changing what Ophelos fundamentally is. FDEs operate right at the intersection of high-calibre software engineering and real-world market expansion. In this role, you will hold a unique position across Engineering and Markets: Engineering owns your growth & craft: You are held to rigorous engineering standards—code reviews, architecture design, technical excellence, line management, progression, and pay. Markets owns the priorities: You work hand-in-hand with named Markets counterparts to prioritize client deployments, integrations, and go-live schedules. What You'll Do Edge & Integration Engineering: Build, scale, and optimize per-market client data ingestion and egestion integrations, including APIs, file formats, validation, reconciliation, and replay mechanisms. Payment & Comms Integration: Connect market-specific payment providers, SMS, email, postal, and messaging vendor APIs through clean platform abstractions. Configuration & Localisation: Leverage and expand existing configuration surfaces to adapt Ophelos to local regulations and workflow needs. Market Operations & Defects: Own and resolve market-specific defects within the integration and configuration layers. Field-to-Roadmap Influence: Collect market needs, measure commercial impact, and author structured Product Cases stating unlock value to shape the core product roadmap. Client & Partner Engagement: Partner directly with Markets Success and client technical teams during onboarding across Europe. Our Operating Principles We solve complex market expansion through structured decision-making: Configure First: Solve requests using existing product configuration surfaces to deliver fast, maintainable solutions. Integrate at the Edge: Build robust integration layers against clean, stable Abstraction APIs. Escalate with Impact: When core capabilities are missing, build compelling business cases to drive product platform development rather than modifying core code directly. Role Expectations & Responsibilities Owns complete market onboarding end-to-end, acting as the primary technical authority in client discussions. Aggregates multi-market needs into the Abstraction API roadmap with product engineering. Builds reusable integration patterns, market playbooks, and mentors mid-level FDEs. Confidently leads technical and executive-level discussions with enterprise financial institutions. What We’re Looking For Core Technical Requirements Strong Software Engineering Skills: Production proficiency in Python and TypeScript, with Ruby experience considered a plus. Data Fluency Under Failure: Hands-on experience with complex schemas, data transformation, validation, reconciliation, idempotency, and replay logic. Third-Party Integration Experience: Demonstrated ability to evaluate, map, and integrate third-party APIs and protocols safely and reliably. Cross-Functional Communication: Ability to translate technical details clearly to client executives, product managers, and software engineers alike. Documentation & AI-First Mindset: Habitual documentation practices and comfort working in an AI-first development environment using tools like Claude Code, Codex, and OpenSpec. Location & Travel: Willingness to work 3 days a week from our London office in Liverpool Street and travel periodically across Europe. Senior Experience & Domain Expertise Regulated Domain Experience: Background in collections, credit, payments, fintech, or adjacent regulated sectors. Enterprise Onboarding: Track record of navigating complex client data models and multi-stakeholder corporate integrations. Roadmap Influence: Demonstrated experience building business cases that successfully influenced core product roadmaps. Why Join Us? High Impact: Directly shape how Ophelos scales into new European markets. Technical Rigour: Work with high engineering standards without sacrificing market agility. Career Growth: Clear progression framework within a rapidly expanding company. Modern Stack & Workflows: AI-first engineering practices and modern tools. Ophelos is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. About Our Team Ophelos launched in June of 2021, backed by investors such as AlbionVC, Connect Ventures and Fly Ventures. In 2023, we were acquired by Intrum, Europe’s biggest credit management service. Our growing team has team helped build some of the world’s most successful businesses, including the likes of Monzo, Google, Oracle, ASAPP, IBM and more — in addition to pioneering innovative products, sitting at the intersection of enterprise, financial technology, artificial intelligence and academia, working with institutions such as Oxford University, the University of Amsterdam and the University of Hong Kong. Our Values Supporting customers and businesses to improve their financial health is a long-term mission. Our company values act as our north star, steering our every move as an organisation and are the backbone of our unique company culture. Our values and culture allow us to stay true to our larger purpose, even as we continue to grow at a rapid pace. Customers and Clients first – We exist to help real people move through debt and to get clients paid back. This commitment drives how we design products, deliver services, and interact with customers and clients daily. Dream big – We have ambition and drive to succeed - we’re not just raising the bar, we’re confidently asserting ourselves as the benchmark. Get it done – We’re decisive and embrace a sense of urgency; we don’t let opportunities get away from us. We’d rather act quickly and take informed risks, iterating and learning as we go. Win as one - We work as one team, supporting each other and aiming for shared goals. At Ophelos, the team isn’t just individual departments - it’s all of us together. We challenge and support each other because we care about everyone’s growth and success. Ophelos is committed to creating a diverse work environment and is proud to be an equal opportunity workplace, providing equal employment and advancement opportunities to all team members. We are building an environment where every Ophelos team member can thrive, feel a sense of belonging, and do the best work of their careers. We value diversity and recruit, hire, and promote individuals solely based on talent, qualifications, competence, and merit. We evaluate candidates without regard to race, colour, religion, age, sex, sexual orientation, gender identity, national origin, disability, or other protected characteristics as required by law and as a matter of our company values. GDPR Notice When you apply to a job on this site, the personal data contained in your application will be collected by Ophelos ("Controller"), located at 1 Finsbury Ave, London EC2M 2PF, and can be contacted by emailing support@ophelos.com. Controller's data protection contact is Kofi Barnes, who can be contacted at support@ophelos.com. This notice explains how we process your personal data throughout our recruitment process, including at the interview stage described below. Applying for a role with Ophelos is subject to the practices described in this notice — it is not a separate agreement you sign, but a description of how the recruitment process works. You won't be given a separate notice at each stage; Ophelos retains discretion over which of the described tools and processes are applied to any given application or interview, within the purposes set out below. This discretion does not extend to introducing automated decision-making without human review — that is addressed separately below. What we use your data for Your personal data will be processed for the purposes of managing Controller's recruitment-related activities, which include reviewing applications, setting up and conducting interviews and tests, evaluating and assessing the results, and as is otherwise needed in the recruitment and hiring process. As part of this process, we use software tools — including AI-assisted tools — to help us organise, screen, and evaluate applications and interviews. This includes: Automated analysis of CVs and application materials to identify relevant skills and experience Automated analysis of interview transcripts to help summarise and score responses (see "Interviews" below) Generating scores, summaries, or insights to assist our recruiters Currently, these AI-assisted outputs are advisory only. A human recruiter reviews every application and every AI-generated score or summary before any decision is made, and no application is filtered out or rejected by an automated process alone. We may in future use automated tools to make, or take part in making, decisions about your application without human review at that stage, if we do so in a way that complies with applicable law at the time — for example, by obtaining your explicit consent, or where the decision is necessary for entering into a contract with you, and in either case only with appropriate safeguards, including your ability to request human review of, and to contest, that decision. If we intend to introduce this, we will update this notice and separately inform you before it applies to your application — this notice alone does not authorise it. We also use historical, aggregated recruitment data to improve our processes generally — for example, to better understand which factors tend to be associated with successful hires. Where this involves data from past applicants, it is anonymised or aggregated before use, and is not used to make any decision about a specific individual. Such processing is legally permissible under Art. 6(1)(f) UK/EU GDPR as necessary for the legitimate interests pursued by the Controller: the solicitation, evaluation, and selection of applicants for employment, and the improvement of Controller's recruitment processes. Interviews — recording and transcription If you're invited to an interview conducted by video or phone call, it will be recorded and automatically transcribed as a standard part of our recruitment process — this is described in this notice, which applies to your application as explained above. Where an interview is recorded: The interview will be recorded and transcribed using our video-calling provider (Google Meet). The transcript will be processed by AI tools (including models provided by Anthropic and Google) to help generate a summary and structured notes for the interview panel, and to help train and improve our own recruitment tools as described above. The recording, transcript, and any AI-generated summary will be stored on Ophelos's systems (hosted via Cloudflare) and in Greenhouse. A human interviewer/panel always reviews the AI-generated summary as part of forming their own assessment — it is a starting point for the panel, not a decision in itself. Recording and transcribing interviews in this way is necessary for us to evaluate all candidates fairly and consistently, and is carried out under our legitimate interests (Art. 6(1)(f) GDPR) in running a fair, well-documented recruitment process. Who we share your data with Your personal data will be shared with the following processors, engaged by Controller to help manage its recruitment and hiring process: Greenhouse Software, Inc. — applicant tracking system (United States) Google LLC — video interview hosting/recording (Google Meet), and AI models used to help analyse application and interview materials (United States) Anthropic, PBC — AI models used to help analyse and summarise application and interview materials (United States) Cloudflare, Inc. — infrastructure and data storage supporting our recruitment tools [confirm storage region before publishing] We use application and interview data, including through AI-assisted tools, to train and improve our own internal recruitment tools and models — for example, to refine how we identify relevant skills and experience, and to better understand what tends to be associated with successful hires. This is part of how we evaluate and improve our recruitment process on an ongoing basis. The third-party AI providers who process this data on our behalf do not use it to train their own general-purpose AI models — it is used only to generate the specific outputs described in this notice. International data transfers Because the above providers are located in or transfer data to the United States, if you are located outside the United States, your personal data will be transferred to the United States once you submit it or once your interview is processed. Where the European Commission has not made an adequacy determination covering such a transfer, it is subject to appropriate safeguards, including Standard Contractual Clauses and/or the EU-U.S. Data Privacy Framework where the recipient is certified. You can obtain a copy of the relevant safeguards by contacting support@ophelos.com. How long we keep your data Your personal data, including any interview recordings, transcripts, and AI-generated summaries, will be retained for the duration of the recruitment process and for 24 months afterwards, to allow us to consider you for other roles and manage any related legal claims, after which it will be deleted or anonymised. You can request earlier deletion at any time by contacting support@ophelos.com. Your rights Under the GDPR, you have the right to request access to your personal data, to request that it be rectified or erased, and to request that processing be restricted. You also have the right to data portability and the right to object to processing based on legitimate interests, including interview recording — though for the reasons explained above, we may not be able to progress an application where a candidate objects to standard recording of the interview stage. In addition, you may lodge a complaint with an EU or UK supervisory authority (in the UK, the Information Commissioner's Office). 3f:T460a,

Our Mission

At Ophelos, we believe in a different way to deal with debt. One that puts empathy and understanding front and centre, approaching our customers as individuals — no matter what they’re going through.

For too long, people in debt have borne the brunt of poor industry practices. Intimidating tactics, time-consuming customer service and a one-size-fits-all approach that overlooks the reasons anyone can fall into debt in the first place. Meanwhile, businesses suffer too. Poor customer experience translates to poor customer satisfaction, high churn rates, bad brand reputation and ultimately missed opportunities.

That’s why we’re taking a radically different approach. Pioneering an industry-first AI-native collections platform, we build products that help individuals clear their debts in a way that suits them, whilst providing businesses with an improved customer experience and game-changing insights into their customer base.

Since our launch in 2021, we’ve worked with some of the UK’s leading companies, including Octopus, Scottish Power and Philips — helping millions of people move toward a more stable, debt-free future. In 2023, we were acquired by Intrum, Europe’s biggest credit management service and have begun the next phase in our growth — expansion into 17 European markets over the next two years.

About Ophelos

At Ophelos, we are reimagining credit, collections, and financial health infrastructure across Europe. Our mission is to build fairer, smarter, and more empathetic financial systems through modern software engineering, data science, and thoughtful product design.

As we expand into new markets across Europe, we face a core challenge: adapting to complex local banking standards, regulatory requirements, payment systems, and client integrations while maintaining a clean, scalable core platform. That’s where Forward Deployed Engineering comes in.

The Role

Forward Deployed Engineers (FDEs) make Ophelos work in each market without changing what Ophelos fundamentally is. FDEs operate right at the intersection of high-calibre software engineering and real-world market expansion.

In this role, you will hold a unique position across Engineering and Markets:

Engineering owns your growth & craft: You are held to rigorous engineering standards—code reviews, architecture design, technical excellence, line management, progression, and pay.
Markets owns the priorities: You work hand-in-hand with named Markets counterparts to prioritize client deployments, integrations, and go-live schedules.

What You'll Do

Edge & Integration Engineering: Build, scale, and optimize per-market client data ingestion and egestion integrations, including APIs, file formats, validation, reconciliation, and replay mechanisms.
Payment & Comms Integration: Connect market-specific payment providers, SMS, email, postal, and messaging vendor APIs through clean platform abstractions.
Configuration & Localisation: Leverage and expand existing configuration surfaces to adapt Ophelos to local regulations and workflow needs.
Market Operations & Defects: Own and resolve market-specific defects within the integration and configuration layers.
Field-to-Roadmap Influence: Collect market needs, measure commercial impact, and author structured Product Cases stating unlock value to shape the core product roadmap.
Client & Partner Engagement: Partner directly with Markets Success and client technical teams during onboarding across Europe.

Our Operating Principles

We solve complex market expansion through structured decision-making:

Configure First: Solve requests using existing product configuration surfaces to deliver fast, maintainable solutions.
Integrate at the Edge: Build robust integration layers against clean, stable Abstraction APIs.
Escalate with Impact: When core capabilities are missing, build compelling business cases to drive product platform development rather than modifying core code directly.

Role Expectations & Responsibilities

Owns complete market onboarding end-to-end, acting as the primary technical authority in client discussions.
Aggregates multi-market needs into the Abstraction API roadmap with product engineering.
Builds reusable integration patterns, market playbooks, and mentors mid-level FDEs.
Confidently leads technical and executive-level discussions with enterprise financial institutions.

What We’re Looking For

Core Technical Requirements

Strong Software Engineering Skills: Production proficiency in Python and TypeScript, with Ruby experience considered a plus.
Data Fluency Under Failure: Hands-on experience with complex schemas, data transformation, validation, reconciliation, idempotency, and replay logic.
Third-Party Integration Experience: Demonstrated ability to evaluate, map, and integrate third-party APIs and protocols safely and reliably.
Cross-Functional Communication: Ability to translate technical details clearly to client executives, product managers, and software engineers alike.
Documentation & AI-First Mindset: Habitual documentation practices and comfort working in an AI-first development environment using tools like Claude Code, Codex, and OpenSpec.
Location & Travel: Willingness to work 3 days a week from our London office in Liverpool Street and travel periodically across Europe.

Senior Experience & Domain Expertise

Regulated Domain Experience: Background in collections, credit, payments, fintech, or adjacent regulated sectors.
Enterprise Onboarding: Track record of navigating complex client data models and multi-stakeholder corporate integrations.
Roadmap Influence: Demonstrated experience building business cases that successfully influenced core product roadmaps.

Why Join Us?

High Impact: Directly shape how Ophelos scales into new European markets.
Technical Rigour: Work with high engineering standards without sacrificing market agility.
Career Growth: Clear progression framework within a rapidly expanding company.
Modern Stack & Workflows: AI-first engineering practices and modern tools.

Ophelos is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

About Our Team

Ophelos launched in June of 2021, backed by investors such as AlbionVC, Connect Ventures and Fly Ventures. In 2023, we were acquired by Intrum, Europe’s biggest credit management service. Our growing team has team helped build some of the world’s most successful businesses, including the likes of Monzo, Google, Oracle, ASAPP, IBM and more — in addition to pioneering innovative products, sitting at the intersection of enterprise, financial technology, artificial intelligence and academia, working with institutions such as Oxford University, the University of Amsterdam and the University of Hong Kong.

Our Values

Supporting customers and businesses to improve their financial health is a long-term mission. Our company values act as our north star, steering our every move as an organisation and are the backbone of our unique company culture. Our values and culture allow us to stay true to our larger purpose, even as we continue to grow at a rapid pace.

Customers and Clients first – We exist to help real people move through debt and to get clients paid back. This commitment drives how we design products, deliver services, and interact with customers and clients daily.

Dream big – We have ambition and drive to succeed - we’re not just raising the bar, we’re confidently asserting ourselves as the benchmark.

Get it done – We’re decisive and embrace a sense of urgency; we don’t let opportunities get away from us. We’d rather act quickly and take informed risks, iterating and learning as we go.

Win as one - We work as one team, supporting each other and aiming for shared goals. At Ophelos, the team isn’t just individual departments - it’s all of us together. We challenge and support each other because we care about everyone’s growth and success.

Ophelos is committed to creating a diverse work environment and is proud to be an equal opportunity workplace, providing equal employment and advancement opportunities to all team members. We are building an environment where every Ophelos team member can thrive, feel a sense of belonging, and do the best work of their careers. We value diversity and recruit, hire, and promote individuals solely based on talent, qualifications, competence, and merit. We evaluate candidates without regard to race, colour, religion, age, sex, sexual orientation, gender identity, national origin, disability, or other protected characteristics as required by law and as a matter of our company values.

GDPR Notice

When you apply to a job on this site, the personal data contained in your application will be collected by Ophelos ("Controller"), located at 1 Finsbury Ave, London EC2M 2PF, and can be contacted by emailing support@ophelos.com. Controller's data protection contact is Kofi Barnes, who can be contacted at support@ophelos.com.

This notice explains how we process your personal data throughout our recruitment process, including at the interview stage described below. Applying for a role with Ophelos is subject to the practices described in this notice — it is not a separate agreement you sign, but a description of how the recruitment process works. You won't be given a separate notice at each stage; Ophelos retains discretion over which of the described tools and processes are applied to any given application or interview, within the purposes set out below. This discretion does not extend to introducing automated decision-making without human review — that is addressed separately below.

What we use your data for

Your personal data will be processed for the purposes of managing Controller's recruitment-related activities, which include reviewing applications, setting up and conducting interviews and tests, evaluating and assessing the results, and as is otherwise needed in the recruitment and hiring process.

As part of this process, we use software tools — including AI-assisted tools — to help us organise, screen, and evaluate applications and interviews. This includes:

Automated analysis of CVs and application materials to identify relevant skills and experience
Automated analysis of interview transcripts to help summarise and score responses (see "Interviews" below)
Generating scores, summaries, or insights to assist our recruiters

Currently, these AI-assisted outputs are advisory only. A human recruiter reviews every application and every AI-generated score or summary before any decision is made, and no application is filtered out or rejected by an automated process alone.

We may in future use automated tools to make, or take part in making, decisions about your application without human review at that stage, if we do so in a way that complies with applicable law at the time — for example, by obtaining your explicit consent, or where the decision is necessary for entering into a contract with you, and in either case only with appropriate safeguards, including your ability to request human review of, and to contest, that decision. If we intend to introduce this, we will update this notice and separately inform you before it applies to your application — this notice alone does not authorise it.

We also use historical, aggregated recruitment data to improve our processes generally — for example, to better understand which factors tend to be associated with successful hires. Where this involves data from past applicants, it is anonymised or aggregated before use, and is not used to make any decision about a specific individual.

Such processing is legally permissible under Art. 6(1)(f) UK/EU GDPR as necessary for the legitimate interests pursued by the Controller: the solicitation, evaluation, and selection of applicants for employment, and the improvement of Controller's recruitment processes.

Interviews — recording and transcription

If you're invited to an interview conducted by video or phone call, it will be recorded and automatically transcribed as a standard part of our recruitment process — this is described in this notice, which applies to your application as explained above. Where an interview is recorded:

The interview will be recorded and transcribed using our video-calling provider (Google Meet).
The transcript will be processed by AI tools (including models provided by Anthropic and Google) to help generate a summary and structured notes for the interview panel, and to help train and improve our own recruitment tools as described above.
The recording, transcript, and any AI-generated summary will be stored on Ophelos's systems (hosted via Cloudflare) and in Greenhouse.
A human interviewer/panel always reviews the AI-generated summary as part of forming their own assessment — it is a starting point for the panel, not a decision in itself.

Recording and transcribing interviews in this way is necessary for us to evaluate all candidates fairly and consistently, and is carried out under our legitimate interests (Art. 6(1)(f) GDPR) in running a fair, well-documented recruitment process.

Who we share your data with

Your personal data will be shared with the following processors, engaged by Controller to help manage its recruitment and hiring process:

Greenhouse Software, Inc. — applicant tracking system (United States)
Google LLC — video interview hosting/recording (Google Meet), and AI models used to help analyse application and interview materials (United States)
Anthropic, PBC — AI models used to help analyse and summarise application and interview materials (United States)
Cloudflare, Inc. — infrastructure and data storage supporting our recruitment tools [confirm storage region before publishing]

We use application and interview data, including through AI-assisted tools, to train and improve our own internal recruitment tools and models — for example, to refine how we identify relevant skills and experience, and to better understand what tends to be associated with successful hires. This is part of how we evaluate and improve our recruitment process on an ongoing basis.

The third-party AI providers who process this data on our behalf do not use it to train their own general-purpose AI models — it is used only to generate the specific outputs described in this notice.

International data transfers

Because the above providers are located in or transfer data to the United States, if you are located outside the United States, your personal data will be transferred to the United States once you submit it or once your interview is processed. Where the European Commission has not made an adequacy determination covering such a transfer, it is subject to appropriate safeguards, including Standard Contractual Clauses and/or the EU-U.S. Data Privacy Framework where the recipient is certified. You can obtain a copy of the relevant safeguards by contacting support@ophelos.com.

How long we keep your data

Your personal data, including any interview recordings, transcripts, and AI-generated summaries, will be retained for the duration of the recruitment process and for 24 months afterwards, to allow us to consider you for other roles and manage any related legal claims, after which it will be deleted or anonymised. You can request earlier deletion at any time by contacting support@ophelos.com.

Your rights

Under the GDPR, you have the right to request access to your personal data, to request that it be rectified or erased, and to request that processing be restricted. You also have the right to data portability and the right to object to processing based on legitimate interests, including interview recording — though for the reasons explained above, we may not be able to progress an application where a candidate objects to standard recording of the interview stage. In addition, you may lodge a complaint with an EU or UK supervisory authority (in the UK, the Information Commissioner's Office).

40:Td5a,We are looking for a Senior Software Engineer I who is passionate about building scalable, reliable, and cloud-native software systems. While this role is primarily focused on backend engineering, we are seeking engineers who are comfortable contributing across the stack when needed and are excited to leverage AI-powered development tools to accelerate delivery and innovation. You will play a key role in designing and developing backend services that power mission-critical voice processing application while collaborating closely with frontend, product, QA, and platform engineering teams. We value engineers who can adapt quickly, learn continuously, and use modern AI-assisted development practices to improve productivity and software quality. What you’ll do Design, develop, and maintain scalable, secure, and high-performance backend services using Java and Spring Boot. Develop and maintain Infrastructure as Code (IaC) using Salt and Terraform to provision, manage, and support AWS infrastructure for SaaS applications. Build and evolve RESTful APIs, microservices, and event-driven systems that support business-critical workflows. Collaborate with cross-functional teams, including frontend engineers, to deliver seamless end-to-end product experiences. Leverage AI-assisted development tools and practices to accelerate coding, testing, debugging, documentation, and code reviews while maintaining high standards of quality and security. Drive observability, reliability, automation, and operational excellence across services, including monitoring, incident response, troubleshooting, and performance optimization. Participate in architecture discussions, technical design reviews, and engineering best-practice initiatives. Support production systems through on-call participation, incident management, and continuous service improvements. Mentor and support engineers through code reviews, technical guidance, and knowledge-sharing activities. What you'll bring: 5+ years of professional software engineering experience building enterprise-grade applications. Strong expertise in Java and Spring Boot development. Strong expertise in Infrastructure as Code (IaC), with hands-on experience using Salt and Terraform. Experience designing and building cloud-native backend systems using RESTful APIs, microservices, Docker, Kubernetes, and related container orchestration technologies. Strong understanding of distributed systems, scalability, performance, reliability, and secure software design principles. Experience with cloud platforms such as AWS. Hands-on experience with CI/CD pipelines, automated testing, and modern DevOps practices. Experience using AI-powered development tools such as GitHub Copilot, Cursor, Claude Code, Codex, Windsurf, Kiro, or similar platforms. Ability to critically evaluate, validate, and improve AI-generated code while maintaining quality, security, and maintainability standards. Interest in continuously learning and applying emerging AI-assisted development practices. Excellent problem-solving, debugging, and analytical skills. Experience with observability, monitoring, and production support practices. Ability to work effectively in Agile/Scrum environments. Nice-to-Have Experience Working knowledge of and modern frontend development practices. Building AI-enabled applications, agents, automation workflows. #LI-BK141:Tee0,

We are looking for a Senior Software Engineer I who is passionate about building scalable, reliable, and cloud-native software systems. While this role is primarily focused on backend engineering, we are seeking engineers who are comfortable contributing across the stack when needed and are excited to leverage AI-powered development tools to accelerate delivery and innovation.

You will play a key role in designing and developing backend services that power mission-critical voice processing application while collaborating closely with frontend, product, QA, and platform engineering teams. We value engineers who can adapt quickly, learn continuously, and use modern AI-assisted development practices to improve productivity and software quality.

What you’ll do

Design, develop, and maintain scalable, secure, and high-performance backend services using Java and Spring Boot.
Develop and maintain Infrastructure as Code (IaC) using Salt and Terraform to provision, manage, and support AWS infrastructure for SaaS applications.
Build and evolve RESTful APIs, microservices, and event-driven systems that support business-critical workflows.
Collaborate with cross-functional teams, including frontend engineers, to deliver seamless end-to-end product experiences.
Leverage AI-assisted development tools and practices to accelerate coding, testing, debugging, documentation, and code reviews while maintaining high standards of quality and security.
Drive observability, reliability, automation, and operational excellence across services, including monitoring, incident response, troubleshooting, and performance optimization.
Participate in architecture discussions, technical design reviews, and engineering best-practice initiatives.
Support production systems through on-call participation, incident management, and continuous service improvements.
Mentor and support engineers through code reviews, technical guidance, and knowledge-sharing activities.

What you'll bring:

5+ years of professional software engineering experience building enterprise-grade applications.
Strong expertise in Java and Spring Boot development.
Strong expertise in Infrastructure as Code (IaC), with hands-on experience using Salt and Terraform.
Experience designing and building cloud-native backend systems using RESTful APIs, microservices, Docker, Kubernetes, and related container orchestration technologies.
Strong understanding of distributed systems, scalability, performance, reliability, and secure software design principles.
Experience with cloud platforms such as AWS.
Hands-on experience with CI/CD pipelines, automated testing, and modern DevOps practices.
Experience using AI-powered development tools such as GitHub Copilot, Cursor, Claude Code, Codex, Windsurf, Kiro, or similar platforms.
Ability to critically evaluate, validate, and improve AI-generated code while maintaining quality, security, and maintainability standards.
Interest in continuously learning and applying emerging AI-assisted development practices.
Excellent problem-solving, debugging, and analytical skills.
Experience with observability, monitoring, and production support practices.
Ability to work effectively in Agile/Scrum environments.

Nice-to-Have Experience

Working knowledge of and modern frontend development practices.
Building AI-enabled applications, agents, automation workflows.

#LI-BK1

42:Tf5a, Everbridge, a global leader in critical communications and enterprise safety solutions, is on the lookout for a Senior Full Stack Developer Developer to join our team in Bangalore . This is a remote/home-based position to be based anywhere in India . We are looking for a Senior Software Engineer II who is passionate about building scalable, reliable, and high-quality on-premises software systems. As a Senior Full-Stack Developer, you will contribute to the development of our next-generation platform and play an important role within a cross-functional Agile team, delivering features that help our customers protect lives and keep critical operations running. You will be part of our integrated Public Warning platform, whose mission is to help keep people safe and enable faster, more effective emergency operations. In this role, you will design and develop full-stack services that power the platform while collaborating closely with multiple Scrum teams. We value engineers who are adaptable, committed to continuous learning, and comfortable using modern AI-assisted development practices to improve productivity, code quality, and overall software delivery. What you’ll do Design, develop, and maintain scalable, secure, and high-performance backend services using Java and Scala. Build and evolve GraphQL APIs, RESTful APIs, microservices, and event-driven systems that support business-critical workflows. Design, develop and develop high-performance frontend services using Angular 19, TypeScript, RxJS, NgRx. Develop micro-services interacting within clusters using GraphQL, Restful APIs (ie. OpenAPI). Design, develop and maintain integration with Keycloak IAM to support secure user authentication and authorization. Leverage AI-assisted development tools and practices to accelerate coding, testing, debugging, documentation, and code reviews while maintaining high standards of quality and security. Drive observability, reliability, automation, and operational excellence across services, including monitoring, incident response, troubleshooting, and performance optimization. Participate in architecture discussions, technical design reviews, and engineering best-practice initiatives. Support production systems through on-call participation, incident management, and continuous service improvements. Mentor and support engineers through code reviews, technical guidance, and knowledge- What you'll bring: 12+ years of professional software engineering experience building enterprise-grade applications. Strong expertise in Java and Scala development. Strong expertise in Frontend development using Angular 19, TypeScript, RxJS, NgRx Experience designing and building on-premise system using Angular, GraphQL APIs, RESTful APIs, microservices, Docker, Kubernetes, and related container orchestration technologies. Strong understanding of distributed systems, scalability, performance, reliability, and secure software design principles. Hands-on experience with CI/CD pipelines, automated testing, and modern DevOps practices. Experience using AI-powered development tools such as GitHub Copilot, Cursor, Claude Code, Codex, Windsurf, Kiro, or similar platforms. Ability to critically evaluate, validate, and improve AI-generated code while maintaining quality, security, and maintainability standards. Interest in continuously learning and applying emerging AI-assisted development practices. Excellent problem-solving, debugging, and analytical skills. Experience with observability, monitoring, and production support practices. Ability to work effectively in Agile/Scrum environments. Experience in large code-base products or enterprise grade software. Nice-to-Have Experience Working knowledge of and modern frontend development practices. Building AI-enabled applications, agents, automation workflows. Experience with cloud platforms such as AWS. #LI-BK143:T11ca,

Everbridge, a global leader in critical communications and enterprise safety solutions, is on the lookout for a Senior Full Stack Developer

Developer to join our team in Bangalore . This is a remote/home-based position to be based anywhere in India .

We are looking for a Senior Software Engineer II who is passionate about building scalable, reliable, and high-quality on-premises software systems. As a Senior Full-Stack Developer, you will contribute to the development of our next-generation platform and play an important role within a cross-functional Agile team, delivering features that help our customers protect lives and keep critical operations running.

You will be part of our integrated Public Warning platform, whose mission is to help keep people safe and enable faster, more effective emergency operations. In this role, you will design and develop full-stack services that power the platform while collaborating closely with multiple Scrum teams. We value engineers who are adaptable, committed to continuous learning, and comfortable using modern AI-assisted development practices to improve productivity, code quality, and overall software delivery.

What you’ll do

Design, develop, and maintain scalable, secure, and high-performance backend services using Java and Scala.
Build and evolve GraphQL APIs, RESTful APIs, microservices, and event-driven systems that support business-critical workflows.
Design, develop and develop high-performance frontend services using Angular 19, TypeScript, RxJS, NgRx.
Develop micro-services interacting within clusters using GraphQL, Restful APIs (ie. OpenAPI).
Design, develop and maintain integration with Keycloak IAM to support secure user authentication and authorization.
Leverage AI-assisted development tools and practices to accelerate coding, testing, debugging, documentation, and code reviews while maintaining high standards of quality and security.
Drive observability, reliability, automation, and operational excellence across services, including monitoring, incident response, troubleshooting, and performance optimization.
Participate in architecture discussions, technical design reviews, and engineering best-practice initiatives.
Support production systems through on-call participation, incident management, and continuous service improvements.
Mentor and support engineers through code reviews, technical guidance, and knowledge-

What you'll bring:

12+ years of professional software engineering experience building enterprise-grade applications.
Strong expertise in Java and Scala development.
Strong expertise in Frontend development using Angular 19, TypeScript, RxJS, NgRx
Experience designing and building on-premise system using Angular, GraphQL APIs, RESTful APIs, microservices, Docker, Kubernetes, and related container orchestration technologies.
Strong understanding of distributed systems, scalability, performance, reliability, and secure software design principles.
Hands-on experience with CI/CD pipelines, automated testing, and modern DevOps practices.
Experience using AI-powered development tools such as GitHub Copilot, Cursor, Claude Code, Codex, Windsurf, Kiro, or similar platforms.
Ability to critically evaluate, validate, and improve AI-generated code while maintaining quality, security, and maintainability standards.
Interest in continuously learning and applying emerging AI-assisted development practices.
Excellent problem-solving, debugging, and analytical skills.
Experience with observability, monitoring, and production support practices.
Ability to work effectively in Agile/Scrum environments.
Experience in large code-base products or enterprise grade software.

Nice-to-Have Experience

Working knowledge of and modern frontend development practices.
Building AI-enabled applications, agents, automation workflows.
Experience with cloud platforms such as AWS.

#LI-BK1

44:T178e,Lavendo partners with startups and high‑growth companies to help them hire top‑tier sales, GTM, and technical talent. This role is with one of our clients; we’ll share full details about the company and interview process as we get to know you and confirm mutual fit. About the Company Our client is a Series B enterprise AI startup building infrastructure that turns complex documents into structured, AI-ready data. Its API-based platform processes PDFs, images, spreadsheets, and other unstructured files, helping organizations build production AI applications and automate document-intensive workflows. Our client supports AI-native startups and large enterprises with demanding accuracy and deployment requirements. The team is founder-led and engineering-first, with engineers working directly with customers and using what they learn to improve the product. The Mission Make complex document data reliable enough to build on. Our client helps organizations unlock information inside unstructured files while preserving the detail and structure that downstream applications depend on. The goal is to deliver accurate, usable data that holds up in production, not simply extract text that looks convincing in a demo. The Opportunity Own the technical work that turns an enterprise evaluation into a successful production deployment. As a Forward Deployed Engineer , you’ll build applications, run evaluations, troubleshoot integrations, and stay close to customer results. You’ll partner with sales during technical evaluations, then own technical success for 1-3 enterprise accounts, helping customers resolve issues, deepen adoption, and expand into additional use cases. This is a founding role within our client’s developing FDE function. You’ll work directly with founders, product, and engineering to shape the platform and establish how future deployments are delivered. The role combines substantial engineering work with customer relationships and deployment responsibility. Both backend-leaning engineers and customer-facing FDEs are welcome, but independent coding and production deployment ownership are essential. This position requires full-time, in-person work in San Francisco, five days per week. What You'll Do Turn customer requirements into working applications and integrations Partner with AEs and SEs on evaluations, custom demos, and competitive benchmarking Build custom applications, agents, evaluation tools, and product enhancements Own technical success for 1-3 enterprise accounts, meeting weekly or biweekly Resolve deployment and integration issues to deepen adoption Build diagnostics, dashboards, and evaluation harnesses to measure performance and catch regressions Explain technical decisions and trade-offs to customer stakeholders Identify new use cases and expand deployments across teams Translate customer insights into product improvements and engineering priorities What You Bring 3+ years of full-time production engineering experience shipping software for enterprise customers Experience at a recognizable, high-growth startup with strong engineering standards Independent ownership of building, deploying, and supporting production applications or AI pipelines Strong production-level Python and engineering fundamentals Solid understanding of AI, LLMs, and machine learning concepts Use of Claude, Codex, or similar coding tools beyond autocomplete, guided by sound technical judgment Enterprise deployment experience spanning integrations, troubleshooting, and customer-specific constraints Clear communication and confidence leading technical customer conversations A quantitative approach to debugging, experimentation, and performance measurement Willingness to work on-site in San Francisco five days per week Key Success Drivers Ownership: You identify what needs doing and follow through until the issue is resolved and the deployment works Technical judgment: You build solutions that fit the problem and validate them with evidence Customer judgment: You understand the customer’s technical context and connect engineering work to useful outcomes Quality: You move quickly without overlooking the details that determine production reliability Communication: You explain trade-offs clearly and keep technical and business stakeholders aligned Resourcefulness: You build the tools, diagnostics, or prototypes needed to unblock progress Adaptability: You move comfortably between coding, evaluations, troubleshooting, and customer conversations Why Join? Compensation: 220,000-320,000 annual salary, plus competitive equity Scope: Help build the FDE function while owning evaluations, implementation, and ongoing technical outcomes Production impact: Solve document-processing and deployment challenges that directly affect enterprise AI applications Product influence: Work directly with founders and engineering to turn customer needs into platform improvements Team: Join a founder-led, engineering-first environment with close collaboration across product, sales, and customer success Benefits: Medical, dental, and vision insurance; unlimited PTO; flexible parental leave; and up to $150/month in eligible health and wellness reimbursement Office support: Free daily lunch and reimbursed transportation Visa support: Open to visa transfers (e.g. OPT, H1B transfers) Interviewing Process HR screening Hiring manager screen and technical interview - 30 minutes: Live Python coding to assess engineering fundamentals and problem-solving. On-site practical assessment: Build an application relevant to the role, with a focus on engineering depth or technical presentation and customer communication. Offer extended. We are proud to be an equal opportunity workplace and consider all qualified applicants without regard to race, color, religion, national origin, age, sex, marital status, ancestry, disability, genetic information, veteran or military status, gender identity or expression, sexual orientation, or any other characteristic protected by law.45:T2129,

Lavendo partners with startups and high‑growth companies to help them hire top‑tier sales, GTM, and technical talent. This role is with one of our clients; we’ll share full details about the company and interview process as we get to know you and confirm mutual fit.

About the Company

Our client is a Series B enterprise AI startup building infrastructure that turns complex documents into structured, AI-ready data. Its API-based platform processes PDFs, images, spreadsheets, and other unstructured files, helping organizations build production AI applications and automate document-intensive workflows.

Our client supports AI-native startups and large enterprises with demanding accuracy and deployment requirements. The team is founder-led and engineering-first, with engineers working directly with customers and using what they learn to improve the product.

The Mission

Make complex document data reliable enough to build on.

Our client helps organizations unlock information inside unstructured files while preserving the detail and structure that downstream applications depend on. The goal is to deliver accurate, usable data that holds up in production, not simply extract text that looks convincing in a demo.

The Opportunity

Own the technical work that turns an enterprise evaluation into a successful production deployment.

As a Forward Deployed Engineer, you’ll build applications, run evaluations, troubleshoot integrations, and stay close to customer results. You’ll partner with sales during technical evaluations, then own technical success for 1-3 enterprise accounts, helping customers resolve issues, deepen adoption, and expand into additional use cases.

This is a founding role within our client’s developing FDE function. You’ll work directly with founders, product, and engineering to shape the platform and establish how future deployments are delivered.

The role combines substantial engineering work with customer relationships and deployment responsibility. Both backend-leaning engineers and customer-facing FDEs are welcome, but independent coding and production deployment ownership are essential. This position requires full-time, in-person work in San Francisco, five days per week.

What You'll Do

Turn customer requirements into working applications and integrations
Partner with AEs and SEs on evaluations, custom demos, and competitive benchmarking
Build custom applications, agents, evaluation tools, and product enhancements
Own technical success for 1-3 enterprise accounts, meeting weekly or biweekly
Resolve deployment and integration issues to deepen adoption
Build diagnostics, dashboards, and evaluation harnesses to measure performance and catch regressions
Explain technical decisions and trade-offs to customer stakeholders
Identify new use cases and expand deployments across teams
Translate customer insights into product improvements and engineering priorities

What You Bring

3+ years of full-time production engineering experience shipping software for enterprise customers
Experience at a recognizable, high-growth startup with strong engineering standards
Independent ownership of building, deploying, and supporting production applications or AI pipelines
Strong production-level Python and engineering fundamentals
Solid understanding of AI, LLMs, and machine learning concepts
Use of Claude, Codex, or similar coding tools beyond autocomplete, guided by sound technical judgment
Enterprise deployment experience spanning integrations, troubleshooting, and customer-specific constraints
Clear communication and confidence leading technical customer conversations
A quantitative approach to debugging, experimentation, and performance measurement
Willingness to work on-site in San Francisco five days per week

Key Success Drivers

Ownership: You identify what needs doing and follow through until the issue is resolved and the deployment works
Technical judgment: You build solutions that fit the problem and validate them with evidence
Customer judgment: You understand the customer’s technical context and connect engineering work to useful outcomes
Quality: You move quickly without overlooking the details that determine production reliability
Communication: You explain trade-offs clearly and keep technical and business stakeholders aligned
Resourcefulness: You build the tools, diagnostics, or prototypes needed to unblock progress
Adaptability: You move comfortably between coding, evaluations, troubleshooting, and customer conversations

Why Join?

Compensation: 220,000-320,000 annual salary, plus competitive equity
Scope: Help build the FDE function while owning evaluations, implementation, and ongoing technical outcomes
Production impact: Solve document-processing and deployment challenges that directly affect enterprise AI applications
Product influence: Work directly with founders and engineering to turn customer needs into platform improvements
Team: Join a founder-led, engineering-first environment with close collaboration across product, sales, and customer success
Benefits: Medical, dental, and vision insurance; unlimited PTO; flexible parental leave; and up to $150/month in eligible health and wellness reimbursement
Office support: Free daily lunch and reimbursed transportation
Visa support: Open to visa transfers (e.g. OPT, H1B transfers)

Interviewing Process

HR screening
Hiring manager screen and technical interview - 30 minutes: Live Python coding to assess engineering fundamentals and problem-solving.
On-site practical assessment: Build an application relevant to the role, with a focus on engineering depth or technical presentation and customer communication.
Offer extended.

We are proud to be an equal opportunity workplace and consider all qualified applicants without regard to race, color, religion, national origin, age, sex, marital status, ancestry, disability, genetic information, veteran or military status, gender identity or expression, sexual orientation, or any other characteristic protected by law.

46:T11b1,About Reducto Reducto is the agentic document platform for leading AI teams who demand enterprise performance at scale. We provide a comprehensive toolkit for working with documents the way a human would, combining custom in-house and leading frontier models to power efficient and accurate document workflows. We’ve grown rapidly, increasing revenue 8x year over year and partnering with hundreds of companies, from leading AI teams like Harvey, Vanta, and Scale, to enterprise customers across FAANG and top trading firms. Reducto has raised over $100M from world-class investors including a16z, Benchmark, and First Round Capital. The Opportunity As a Software Engineer on Platform, you’ll own the infrastructure behind Reducto’s core API: the systems that make document understanding fast, reliable, and cost-efficient at scale. You’ll work across Python services, queues, model-serving paths, Kubernetes/container infrastructure, observability, and developer tooling to make Reducto’s platform increasingly bulletproof as usage grows. This is a high-leverage infra role. The ideal person has built and operated real production systems, cares deeply about latency/reliability/cost, is comfortable leading technical direction for a small team, and uses modern LLM coding tools fluently to move faster. We would love to meet you if you: Have 5+ years building, hardening, and scaling production backend/platform systems. Have hands-on experience with distributed systems, Kubernetes or similar orchestration, cloud infrastructure, observability, and incident-driven reliability work. Are strong in Python, or deeply expert in another backend language and excited to work primarily in Python. Have used Terraform/IaC, containerized deployments, and production debugging workflows. Are highly fluent with LLM coding tools such as Claude Code, Codex, Cursor, or similar, and use them as part of your daily engineering loop. Have led projects or small teams, raised engineering quality, and can communicate clearly with founders, engineers, and occasionally customers. The core work will include: Scaling Reducto’s core API and document processing pipelines for higher throughput and lower latency. Reducing infrastructure and model-serving costs without sacrificing quality or reliability. Improving Kubernetes/containerized deployment workflows, observability, alerting, and operational safety. Building internal tooling, evals, and debugging workflows that help engineers find and fix failures quickly. Partnering with ML/backend engineers to optimize LLM/model-serving paths in production. Acting as a technical lead for platform/backend projects as the team grows. Bonus points if you: Have built infrastructure at an early-stage or high-growth startup. Have worked on AI infrastructure, model-serving, agent platforms, developer tools, or high-throughput APIs. Have meaningful experience with Terraform, Kubernetes, queues, Postgres, observability, or cloud cost optimization. Are comfortable talking with customers or translating customer pain into platform improvements. Keep up with modern AI/LLM tooling and actively use it to improve your engineering workflow. This is an in person role at our office in SF. We're an early stage company which means that the role requires working hard and moving quickly. Please only apply if that excites you. Benefits at Reducto At Reducto, we’re invested in the well-being and growth of our team. Here’s what we currently offer: Unlimited PTO: We believe great work requires recharging. Lunch: Receive a free lunch to eat with your teammates daily at the office Reimbursed Transportation: Provide us with your receipts and we’ll take care of the costs Insurance: Generous health insurance covering medical, dental, and vision. Health and Wellness Budget: We provide up to $150/mo reimbursement for health and wellness spending, such as gym memberships, fitness classes, or similar. Parental Leave: Work with us to build a leave schedule that works for you and your family Reducto is an Equal Opportunity Employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex, race, color, age, national origin, religion, physical and mental disability, genetic information, marital status, sexual orientation, gender identity/assignment, citizenship, pregnancy or maternity, protected veteran status, or any other status prohibited by applicable national, federal, state or local law.47:T181c,

About Reducto

Reducto is the agentic document platform for leading AI teams who demand enterprise performance at scale. We provide a comprehensive toolkit for working with documents the way a human would, combining custom in-house and leading frontier models to power efficient and accurate document workflows.

We’ve grown rapidly, increasing revenue 8x year over year and partnering with hundreds of companies, from leading AI teams like Harvey, Vanta, and Scale, to enterprise customers across FAANG and top trading firms.

Reducto has raised over $100M from world-class investors including a16z, Benchmark, and First Round Capital.

The Opportunity

As a Software Engineer on Platform, you’ll own the infrastructure behind Reducto’s core API: the systems that make document understanding fast, reliable, and cost-efficient at scale. You’ll work across Python services, queues, model-serving paths, Kubernetes/container infrastructure, observability, and developer tooling to make Reducto’s platform increasingly bulletproof as usage grows.

This is a high-leverage infra role. The ideal person has built and operated real production systems, cares deeply about latency/reliability/cost, is comfortable leading technical direction for a small team, and uses modern LLM coding tools fluently to move faster.

We would love to meet you if you:

Have 5+ years building, hardening, and scaling production backend/platform systems.
Have hands-on experience with distributed systems, Kubernetes or similar orchestration, cloud infrastructure, observability, and incident-driven reliability work.
Are strong in Python, or deeply expert in another backend language and excited to work primarily in Python.
Have used Terraform/IaC, containerized deployments, and production debugging workflows.
Are highly fluent with LLM coding tools such as Claude Code, Codex, Cursor, or similar, and use them as part of your daily engineering loop.
Have led projects or small teams, raised engineering quality, and can communicate clearly with founders, engineers, and occasionally customers.

The core work will include:

Scaling Reducto’s core API and document processing pipelines for higher throughput and lower latency.
Reducing infrastructure and model-serving costs without sacrificing quality or reliability.
Improving Kubernetes/containerized deployment workflows, observability, alerting, and operational safety.
Building internal tooling, evals, and debugging workflows that help engineers find and fix failures quickly.
Partnering with ML/backend engineers to optimize LLM/model-serving paths in production.
Acting as a technical lead for platform/backend projects as the team grows.

Bonus points if you:

Have built infrastructure at an early-stage or high-growth startup.
Have worked on AI infrastructure, model-serving, agent platforms, developer tools, or high-throughput APIs.
Have meaningful experience with Terraform, Kubernetes, queues, Postgres, observability, or cloud cost optimization.
Are comfortable talking with customers or translating customer pain into platform improvements.
Keep up with modern AI/LLM tooling and actively use it to improve your engineering workflow.

This is an in person role at our office in SF. We're an early stage company which means that the role requires working hard and moving quickly. Please only apply if that excites you.

Benefits at Reducto

At Reducto, we’re invested in the well-being and growth of our team. Here’s what we currently offer:

Unlimited PTO: We believe great work requires recharging.
Lunch: Receive a free lunch to eat with your teammates daily at the office
Reimbursed Transportation: Provide us with your receipts and we’ll take care of the costs
Insurance: Generous health insurance covering medical, dental, and vision.
Health and Wellness Budget: We provide up to $150/mo reimbursement for health and wellness spending, such as gym memberships, fitness classes, or similar.
Parental Leave: Work with us to build a leave schedule that works for you and your family

Reducto is an Equal Opportunity Employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex, race, color, age, national origin, religion, physical and mental disability, genetic information, marital status, sexual orientation, gender identity/assignment, citizenship, pregnancy or maternity, protected veteran status, or any other status prohibited by applicable national, federal, state or local law.

48:Tdc9,About OpenRouter OpenRouter is the leading AI routing and infrastructure layer that enterprises use to access, manage, and optimize the best large language models across providers—without lock-in, capacity constraints, or unnecessary cost. We power the most advanced AI teams in the world by giving them the flexibility to move fast, scale confidently, and stay future-proof as models evolve. As enterprise adoption of AI accelerates, OpenRouter sits at the center of how organizations operationalize LLMs across research, product, and production workloads. About the Role We're hiring a Software Engineer on our Ori, to build out our family of products for putting any model to work in your terminal, in Slack, and on your desktop. Ori is built to answer the question from large buyer ICP, we are building the client side products for massive enterprise adoption of OpenRouter beyond the engineering organization. Ori is small team built the current product in a few months. You'll work with that team, which is led by one of our co-founders, alongside product, design and the platform teams Ori is built on. This is a hands-on IC role with broad surface area and little process between you and shipping. What You'll Do Build and ship across every Ori surface: the ori CLI and its harness integrations. Make model fungibility real in any harness. That means model switching, provider fallbacks, tool and prompt settings tuned to each model, and respecting org guardrails, all without extra auth for the user. Build the agent runtime underneath. That includes sandboxed agents that never see their own credentials, secrets management, session management and compaction, and skills that agents can learn, share and inherit across models. Take agents from a laptop to the cloud: deploy, fork and shut down agents on command, with agent state that is version-controlled and auditable. Own quality end to end, from install, auth and CLI UX to reliability, observability and evals. Ori is heavily dogfooded internally, so you'll use what you build every day. Feed the gaps Ori exposes back into OpenRouter's API and SDKs, so the whole ecosystem can build multi-model agents on the same primitives. What We're Looking For 5+ years shipping production software, with real ownership of developer tools, CLIs, agent products or the infrastructure behind them. Daily fluency with coding agents like Claude Code, Codex, OpenCode, Pi or Hermes, and specific opinions about what makes an agent loop, a harness or a tool integration good. A solid grasp of how agents work under the hood: tool calling, context management, prompt caching, evals, and the cost, latency and quality tradeoffs between models. Good systems judgment for running agents safely: sandboxing, process isolation, secrets, and reliability across many users. High agency and a bias toward action. You talk to users, prototype, ship and iterate on a small team with fluid boundaries. Product taste for developer tools. You notice interaction details and care how the first five minutes feel. Nice to Have Built or maintained an open-source agent harness, CLI or developer tool. Experience with multi-agent systems, agent skills or memory, or eval and benchmarking tools.Shipped a Slack app or a native macOS app.Existing user of OpenRouter or Ori, or active side projects in AI tooling. If you don't think you meet all of the criteria above but are still interested in the job, please apply. Nobody checks every box, and we're looking for someone excited to join the team.49:T119d,

About OpenRouter

OpenRouter is the leading AI routing and infrastructure layer that enterprises use to access, manage, and optimize the best large language models across providers—without lock-in, capacity constraints, or unnecessary cost. We power the most advanced AI teams in the world by giving them the flexibility to move fast, scale confidently, and stay future-proof as models evolve.

As enterprise adoption of AI accelerates, OpenRouter sits at the center of how organizations operationalize LLMs across research, product, and production workloads.

About the Role

We're hiring a Software Engineer on our Ori, to build out our family of products for putting any model to work in your terminal, in Slack, and on your desktop. Ori is built to answer the question from large buyer ICP, we are building the client side products for massive enterprise adoption of OpenRouter beyond the engineering organization.

Ori is small team built the current product in a few months. You'll work with that team, which is led by one of our co-founders, alongside product, design and the platform teams Ori is built on. This is a hands-on IC role with broad surface area and little process between you and shipping.

What You'll Do

Build and ship across every Ori surface: the ori CLI and its harness integrations.
Make model fungibility real in any harness. That means model switching, provider fallbacks, tool and prompt settings tuned to each model, and respecting org guardrails, all without extra auth for the user.
Build the agent runtime underneath. That includes sandboxed agents that never see their own credentials, secrets management, session management and compaction, and skills that agents can learn, share and inherit across models.
Take agents from a laptop to the cloud: deploy, fork and shut down agents on command, with agent state that is version-controlled and auditable.
Own quality end to end, from install, auth and CLI UX to reliability, observability and evals. Ori is heavily dogfooded internally, so you'll use what you build every day.
Feed the gaps Ori exposes back into OpenRouter's API and SDKs, so the whole ecosystem can build multi-model agents on the same primitives.

What We're Looking For

5+ years shipping production software, with real ownership of developer tools, CLIs, agent products or the infrastructure behind them.
Daily fluency with coding agents like Claude Code, Codex, OpenCode, Pi or Hermes, and specific opinions about what makes an agent loop, a harness or a tool integration good.
A solid grasp of how agents work under the hood: tool calling, context management, prompt caching, evals, and the cost, latency and quality tradeoffs between models.
Good systems judgment for running agents safely: sandboxing, process isolation, secrets, and reliability across many users.
High agency and a bias toward action. You talk to users, prototype, ship and iterate on a small team with fluid boundaries.
Product taste for developer tools. You notice interaction details and care how the first five minutes feel.

Nice to Have

Built or maintained an open-source agent harness, CLI or developer tool. Experience with multi-agent systems, agent skills or memory, or eval and benchmarking tools.Shipped a Slack app or a native macOS app.Existing user of OpenRouter or Ori, or active side projects in AI tooling.

If you don't think you meet all of the criteria above but are still interested in the job, please apply. Nobody checks every box, and we're looking for someone excited to join the team.

4a:T250a, CareDx, Inc. is a leading precision medicine solutions company focused on the discovery, development, and commercialization of clinically differentiated, high-value healthcare solutions for transplant patients and caregivers. CareDx offers products, testing services, and digital healthcare solutions along the pre- and post-transplant patient journey, and is the leading provider of genomics-based information for transplant patients. The Data & AI Engineer II will develop analytical applications, data pipelines, and AI-powered capabilities that support clinical research, statistical analysis, and data-driven decision-making. This role helps transform research workflows, statistical analyses, and machine learning models into reliable, secure, and user-facing software. The engineer will collaborate with data scientists, statisticians, engineers, clinicians, and product stakeholders to productionize analytical workflows, translate R-based analyses into maintainable Python, and deliver applications for internal and external users. The engineer will also contribute to AI-powered features that analyze structured and unstructured data, extract information from documents, synthesize analytical results, and help users interpret scientific and clinical information. Success in this role requires strong software engineering fundamentals, curiosity, and the ability to independently deliver well-defined components and features with support on more complex technical decisions. Responsibilities: • Develop and maintain analytical applications using tools and frameworks such as Python, Streamlit, Plotly, Dash, and Django. • Own the implementation, testing, deployment, and maintenance of well-defined application features and data workflows. • Productionize statistical models and machine learning workflows developed by data scientists and statisticians. • Translate and refactor R-based research and analytical workflows into maintainable, tested Python code. • Build and maintain data pipelines that support clinical data processing, analysis, visualization, and reporting. • Develop interactive applications that enable data exploration, visualization, and decision support. • Integrate applications with relational databases, APIs, analytical outputs, documents, and other structured and unstructured data sources. • Contribute to AI-powered application features using techniques such as structured information extraction, retrieval-augmented generation, tool or function calling, and multi-step workflows. • Implement validation, grounding, logging, traceability, and human-review mechanisms for AI-generated outputs. • Collaborate with scientists, clinicians, product stakeholders, and senior engineers to translate requirements into practical technical solutions. • Participate in technical design discussions and document implementation decisions, assumptions, and tradeoffs. • Write reliable, readable, and testable code using established engineering patterns and team standards. • Participate in code reviews and incorporate feedback to improve implementation quality and technical judgment. • Monitor, debug, and improve application performance and reliability across data, model, AI, and application layers. • Follow security, privacy, and compliance requirements for sensitive healthcare data, including HIPAA-aligned practices. • Contribute to shared components, documentation, development tools, and engineering process improvements. • Communicate progress, risks, dependencies, and technical challenges clearly and proactively. Qualifications: • Education: Bachelor’s or master’s degree in Computer Science, Data Science, Engineering, Biostatistics, or a related quantitative field, or equivalent practical experience. • Experience: 2+ years of experience in data engineering, backend engineering, full-stack development, analytics engineering, or a related role. • Strong proficiency in Python for data analysis and software development. • Experience working with statistical analysis, data science, or machine learning workflows. • Experience transforming prototype, research, or analytical code into maintainable software. • Experience building analytical applications using Streamlit, Plotly, Dash, or similar technologies. • Experience developing backend services or web applications using Django, FastAPI, Flask, or a similar framework. • Experience building and maintaining data pipelines that integrate multiple data sources. • Familiarity with relational databases, SQL, APIs, and common data formats. • Experience or demonstrated applied knowledge in at least one modern LLM capability, such as retrieval-augmented generation, structured extraction, tool calling, or agentic workflows. • Understanding of core production considerations for AI systems, including grounding, hallucination mitigation, output validation, security, latency, cost, and human oversight. • Experience with version control and collaborative development practices, including Git, branching, pull requests, and code reviews. • Experience writing automated tests and debugging applications across multiple technical layers. • Ability to independently deliver well-defined features while seeking guidance when requirements or technical risks are unclear. • Strong written and verbal communication skills. • Honest and transparent approach to feedback, collaboration, and accountability. Preferred Qualifications: • Experience in healthcare, biotechnology, clinical research, or another regulated environment. • Experience working with sensitive or protected healthcare data. • Familiarity with HIPAA-aligned application and data-handling practices. • Experience with Azure, Databricks, or comparable cloud and data platforms. • Familiarity with CI/CD practices and automated testing tools such as pytest. • Experience with pandas, NumPy, scikit-learn, statsmodels, or similar data science libraries. • Experience deploying or supporting production web applications. • Experience using modern AI-assisted software development tools, such as Codex or similar coding agents, for development, testing, debugging, and documentation. • Domain knowledge in biological medicine, healthcare, or clinical data. • Experience communicating technical work to scientific or clinical audiences. Additional Details: Every individual at CareDx has a direct impact on our collective mission to improve the lives of organ transplant patients worldwide. We believe in taking great care of our people, so they take even greater care of our patients. Our competitive Total Rewards package for US Employees includes: Competitive base salary and incentive compensation Health and welfare benefits, including a gym reimbursement program 401(k) savings plan match Employee Stock Purchase Plan Pre-tax commuter benefits And more! Please refer to our page to view detailed benefits at https://caredx.com/company/careers In addition, we have a Living Donor Employee Recovery Policy that allows up to 30 days of paid leave annually to a full-time employee who makes the selfless act of donating an organ or bone marrow. With products that are making a difference in the lives of transplant patients today and a promising pipeline for the future, it’s an exciting time to be part of the CareDx team. Join us in partnering with transplant patients to transform our future together. CareDx, Inc. is an Equal Opportunity Employer-vets/disabled, and participates in the E-Verify program. By proceeding with our application and submitting your information, you acknowledge that you have read our U.S. Personnel Privacy Notice and consent to receive email communication from CareDx. ***We do not accept resumes from headhunters, placement agencies, or other suppliers that have not signed a formal agreement with us.*** Certain jurisdictions require notice of how we use and protect your personal information. For more information, please read our Privacy Policy #LI-Remote This is the anticipated base salary range for candidates who will work in Brisbane, California. The final salary offered to a successful candidate will be dependent on several factors that may include, but are not limited to, the type and length of experience within the job, the type and length of experience within the industry, education, etc. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives and restricted stock units. CareDx is a multi-state employer, and this salary range may not reflect positions that work in other states. San Francisco Bay Area Roles $133,000 — $166,000 USD This is the anticipated base salary range in the United States. The final salary offered to a successful candidate will be dependent on several factors that may include, but are not limited to, the type and length of experience within the job, the type and length of experience within the industry, education, etc. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives and restricted stock units. CareDx is a multi-state employer, and this salary range may not reflect positions that work in other states. Remote: US only roles $108,000 — $135,000 USD4b:T4540,

CareDx, Inc. is a leading precision medicine solutions company focused on the discovery, development, and commercialization of clinically differentiated, high-value healthcare solutions for transplant patients and caregivers. CareDx offers products, testing services, and digital healthcare solutions along the pre- and post-transplant patient journey, and is the leading provider of genomics-based information for transplant patients.

The Data & AI Engineer II will develop analytical applications, data pipelines, and AI-powered capabilities that support clinical research, statistical analysis, and data-driven decision-making. This role helps transform research workflows, statistical analyses, and machine learning models into reliable, secure, and user-facing software. The engineer will collaborate with data scientists, statisticians, engineers, clinicians, and product stakeholders to productionize analytical workflows, translate R-based analyses into maintainable Python, and deliver applications for internal and external users. The engineer will also contribute to AI-powered features that analyze structured and unstructured data, extract information from documents, synthesize analytical results, and help users interpret scientific and clinical information. Success in this role requires strong software engineering fundamentals, curiosity, and the ability to independently deliver well-defined components and features with support on more complex technical decisions.

Responsibilities:
• Develop and maintain analytical applications using tools and frameworks such as Python, Streamlit, Plotly, Dash, and Django.
• Own the implementation, testing, deployment, and maintenance of well-defined application features and data workflows.
• Productionize statistical models and machine learning workflows developed by data scientists and statisticians.
• Translate and refactor R-based research and analytical workflows into maintainable, tested Python code.
• Build and maintain data pipelines that support clinical data processing, analysis, visualization, and reporting.
• Develop interactive applications that enable data exploration, visualization, and decision support.
• Integrate applications with relational databases, APIs, analytical outputs, documents, and other structured and unstructured data sources.
• Contribute to AI-powered application features using techniques such as structured information extraction, retrieval-augmented generation, tool or function calling, and multi-step workflows.
• Implement validation, grounding, logging, traceability, and human-review mechanisms for AI-generated outputs.
• Collaborate with scientists, clinicians, product stakeholders, and senior engineers to translate requirements into practical technical solutions.
• Participate in technical design discussions and document implementation decisions, assumptions, and tradeoffs.
• Write reliable, readable, and testable code using established engineering patterns and team standards.
• Participate in code reviews and incorporate feedback to improve implementation quality and technical judgment.
• Monitor, debug, and improve application performance and reliability across data, model, AI, and application layers.
• Follow security, privacy, and compliance requirements for sensitive healthcare data, including HIPAA-aligned practices.
• Contribute to shared components, documentation, development tools, and engineering process improvements.
• Communicate progress, risks, dependencies, and technical challenges clearly and proactively.

Qualifications:
• Education: Bachelor’s or master’s degree in Computer Science, Data Science, Engineering, Biostatistics, or a related quantitative field, or equivalent practical experience.
• Experience: 2+ years of experience in data engineering, backend engineering, full-stack development, analytics engineering, or a related role.
• Strong proficiency in Python for data analysis and software development.
• Experience working with statistical analysis, data science, or machine learning workflows.
• Experience transforming prototype, research, or analytical code into maintainable software.
• Experience building analytical applications using Streamlit, Plotly, Dash, or similar technologies.
• Experience developing backend services or web applications using Django, FastAPI, Flask, or a similar framework.
• Experience building and maintaining data pipelines that integrate multiple data sources.
• Familiarity with relational databases, SQL, APIs, and common data formats.
• Experience or demonstrated applied knowledge in at least one modern LLM capability, such as retrieval-augmented generation, structured extraction, tool calling, or agentic workflows.
• Understanding of core production considerations for AI systems, including grounding, hallucination mitigation, output validation, security, latency, cost, and human oversight.
• Experience with version control and collaborative development practices, including Git, branching, pull requests, and code reviews.
• Experience writing automated tests and debugging applications across multiple technical layers.
• Ability to independently deliver well-defined features while seeking guidance when requirements or technical risks are unclear.
• Strong written and verbal communication skills.
• Honest and transparent approach to feedback, collaboration, and accountability.

Preferred Qualifications:
• Experience in healthcare, biotechnology, clinical research, or another regulated environment.
• Experience working with sensitive or protected healthcare data.
• Familiarity with HIPAA-aligned application and data-handling practices.
• Experience with Azure, Databricks, or comparable cloud and data platforms.
• Familiarity with CI/CD practices and automated testing tools such as pytest.
• Experience with pandas, NumPy, scikit-learn, statsmodels, or similar data science libraries.
• Experience deploying or supporting production web applications.
• Experience using modern AI-assisted software development tools, such as Codex or similar coding agents, for development, testing, debugging, and documentation.
• Domain knowledge in biological medicine, healthcare, or clinical data.
• Experience communicating technical work to scientific or clinical audiences.

Additional Details:

Every individual at CareDx has a direct impact on our collective mission to improve the lives of organ transplant patients worldwide. We believe in taking great care of our people, so they take even greater care of our patients.

Our competitive Total Rewards package for US Employees includes:

Competitive base salary and incentive compensation
Health and welfare benefits, including a gym reimbursement program
401(k) savings plan match
Employee Stock Purchase Plan
Pre-tax commuter benefits
And more!
Please refer to our page to view detailed benefits at https://caredx.com/company/careers

In addition, we have a Living Donor Employee Recovery Policy that allows up to 30 days of paid leave annually to a full-time employee who makes the selfless act of donating an organ or bone marrow.

With products that are making a difference in the lives of transplant patients today and a promising pipeline for the future, it’s an exciting time to be part of the CareDx team. Join us in partnering with transplant patients to transform our future together.

CareDx, Inc. is an Equal Opportunity Employer-vets/disabled, and participates in the E-Verify program.

By proceeding with our application and submitting your information, you acknowledge that you have read our U.S. Personnel Privacy Notice and consent to receive email communication from CareDx.

***We do not accept resumes from headhunters, placement agencies, or other suppliers that have not signed a formal agreement with us.***

Certain jurisdictions require notice of how we use and protect your personal information. For more information, please read our Privacy Policy

#LI-Remote

This is the anticipated base salary range for candidates who will work in Brisbane, California. The final salary offered to a successful candidate will be dependent on several factors that may include, but are not limited to, the type and length of experience within the job, the type and length of experience within the industry, education, etc. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives and restricted stock units. CareDx is a multi-state employer, and this salary range may not reflect positions that work in other states.

San Francisco Bay Area Roles

$133,000—$166,000 USD

This is the anticipated base salary range in the United States. The final salary offered to a successful candidate will be dependent on several factors that may include, but are not limited to, the type and length of experience within the job, the type and length of experience within the industry, education, etc. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives and restricted stock units. CareDx is a multi-state employer, and this salary range may not reflect positions that work in other states.

Remote: US only roles

$108,000—$135,000 USD

4c:T16b1,Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. We are looking for an inspirational and hardworking person to join the Platform Hosting Cloud Security Engineering team at SIE! You'll be joining a team of innovative engineers who are unified in their mission to make PlayStation the best and most secure gaming platform. This support is fulfilled by minimizing impact to the platform while ensuring security needs are met. This role is highly technical and requires a shown grasp of security principles and how they are applied to production environments. You will assist in the planning, design, development, testing, and management of security tools and processes that provide protection and visibility of our cloud environments. Key Responsibilities Design, architect, and implement security controls and frameworks for PlayStation Infrastructure Be responsible for the detection of security gaps, and lead efforts to mature security tooling and operational processes Work with product and platform teams to define system requirements, engineer, and implement cloud based security applications and controls Write code to automate security processes which seamlessly integrate into code builds and deployments, applying DevSecOps processes and tools Architect, develop, and deploy automation solutions that help audit, secure, and affect changes across multi-cloud environments Champion tools for improving platform availability using automated protection mechanisms Document security designs, operating procedures, and technical recommendations clearly. Review existing security policies and maintain their freshness and understandability. Mentor senior and junior engineers and guide them in making design choices that protect Platform Advocate for security and privacy best practices across engineering teams. Qualifications 5-7+ years of experience in cloud security, security engineering, DevOps, platform engineering, or a related field. Hands-on experience securing cloud infrastructure in AWS, GCP, or both. Understanding of common security frameworks and compliance concepts, such as NIST or PCI DSS Proficient in multiple programming and scripting languages such as Python and Go Experience architecting and deploying IaC tools such as CloudFormation and Terraform Familiarity with CI/CD and DevOps tools and practices, such as GitHub, Jenkins, Kubernetes, and automated deployment pipelines. Shown experience building end-to-end enterprise level systems Hands-on experience with utilizing tooling like Wiz and AI tooling like Codex, etc. Strong written and verbal communication skills, with the ability to collaborate effectively across technical and non-technical teams. Proven record of success in coaching and growing people Technical certifications or other demonstrations of passion in security and technology such as CISSP, CCSP, AWS Certified Security are a plus! Strong written and verbal communication skills, with the ability to collaborate effectively across technical and non-technical teams. Technical certifications or demonstrated passion for security and technology, such as Security+, AWS Certified Security – Specialty, CISSP, or CCSP, are a plus. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. €87.800 — €131.800 EUR Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment. 4d:T1af2,

Why Sony Interactive Entertainment?

Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity.

We are looking for an inspirational and hardworking person to join the Platform Hosting Cloud Security Engineering team at SIE! You'll be joining a team of innovative engineers who are unified in their mission to make PlayStation the best and most secure gaming platform. This support is fulfilled by minimizing impact to the platform while ensuring security needs are met. This role is highly technical and requires a shown grasp of security principles and how they are applied to production environments. You will assist in the planning, design, development, testing, and management of security tools and processes that provide protection and visibility of our cloud environments.

Key Responsibilities

Design, architect, and implement security controls and frameworks for PlayStation Infrastructure
Be responsible for the detection of security gaps, and lead efforts to mature security tooling and operational processes
Work with product and platform teams to define system requirements, engineer, and implement cloud based security applications and controls
Write code to automate security processes which seamlessly integrate into code builds and deployments, applying DevSecOps processes and tools
Architect, develop, and deploy automation solutions that help audit, secure, and affect changes across multi-cloud environments
Champion tools for improving platform availability using automated protection mechanisms
Document security designs, operating procedures, and technical recommendations clearly. Review existing security policies and maintain their freshness and understandability.
Mentor senior and junior engineers and guide them in making design choices that protect Platform
Advocate for security and privacy best practices across engineering teams.

Qualifications

5-7+ years of experience in cloud security, security engineering, DevOps, platform engineering, or a related field.
Hands-on experience securing cloud infrastructure in AWS, GCP, or both.
Understanding of common security frameworks and compliance concepts, such as NIST or PCI DSS
Proficient in multiple programming and scripting languages such as Python and Go
Experience architecting and deploying IaC tools such as CloudFormation and Terraform
Familiarity with CI/CD and DevOps tools and practices, such as GitHub, Jenkins, Kubernetes, and automated deployment pipelines.
Shown experience building end-to-end enterprise level systems
Hands-on experience with utilizing tooling like Wiz and AI tooling like Codex, etc.
Strong written and verbal communication skills, with the ability to collaborate effectively across technical and non-technical teams.
Proven record of success in coaching and growing people
Technical certifications or other demonstrations of passion in security and technology such as CISSP, CCSP, AWS Certified Security are a plus!
Strong written and verbal communication skills, with the ability to collaborate effectively across technical and non-technical teams.
Technical certifications or demonstrated passion for security and technology, such as Security+, AWS Certified Security – Specialty, CISSP, or CCSP, are a plus.

At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location.

Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location.

In addition, this role is eligible for SIE’s top-tier benefits package that includes paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more.

The estimated base pay range for this role is listed below.

€87.800—€131.800 EUR

Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.

Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.

Equal Opportunity Statement:

Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.

We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.

Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

4e:T1d66,*This role is open to remote or hybrid candidates (East Coast preference), with hybrid being central to our New York, NY or Charlotte area offices. Must be able to work Eastern Standard Time hours. For the Bankrate website click here . Curious how Bankrate fits into Red Ventures? Click here. At Bankrate, we help millions of people make smarter financial decisions — and the engineers who build our products are central to making that possible. As a Senior Software Engineer, you'll design and deliver the scalable, secure, and maintainable systems that power Bankrate's digital experiences, operating with strong autonomy and bringing deep technical judgment to complex problems. Senior Engineers here don't just write great code — they shape architecture, champion engineering standards, and connect their work directly to customer and business outcomes. What You’ll Do: Design and implement scalable, secure, and maintainable systems within a team or product area Contribute to the evolution of technical architecture and engineering patterns in alignment with organizational standards Build and optimize continuous delivery pipelines, improving deployment speed and reliability Partner with product and design peers to translate business objectives into actionable technical work Scope, estimate, and deliver medium-to-large initiatives with minimal oversight Collaborate across teams to resolve technical challenges, dependencies, and integration issues Mentor engineers through code reviews, pair programming, design discussions, and collaborative problem-solving Contribute to the definition and improvement of team-level engineering practices and technical standards Evaluate tools, techniques, and technologies that could improve team and business outcomes, and bring relevant insights back to the team What We’re Looking For: Proficiency in multiple programming languages and deep expertise in at least one technology domain Strong understanding of software architecture principles and the ability to apply them effectively within team scope Experience designing distributed systems, APIs, and cloud-based services Proven ability to make informed tradeoffs balancing cost, scalability, security, and maintainability Consistent track record of delivering end-to-end solutions independently, from design through production Effective communicator who can influence decisions and translate complex technical concepts clearly for both technical and non-technical audiences Deep fluency in TypeScript across API services and full-stack web applications, including strong typing practices that enforce correctness across API boundaries Strong working knowledge of cloud infrastructure (AWS preferred), infrastructure-as-code, and CI/CD automation Proven track record of applying observability and APM tooling, performance monitoring, and CDN/edge delivery practices to improve system reliability and speed, and contributing to code quality, design consistency, and operational reliability across the team Demonstrated ability to evaluate and adopt AI coding tools (such as Claude Code, Codex, Cursor, Windsurf, or Copilot) to raise team throughput and reduce toil, while maintaining a high review and quality bar Compensation: Total Cash Compensation Range: $100,000 – $195,000 per year New York City Total Cash Compensation Range: $125,000 – $243,000 per year This role is eligible for a target bonus, which is included in the Total Cash Compensation Range. Actual compensation varies based on location, experience, and qualifications. Additionally, the following benefits are provided by Red Ventures, subject to eligibility requirements. Health Insurance Coverage (medical, dental, and vision) Life Insurance Short and Long-Term Disability Insurance Flexible Spending Accounts Holiday Pay 401(k) with match Employee Assistance Program Paid Parental Bonding Benefit Program Flexible Paid Time Off (PTO): We believe time to rest and recharge is essential. That’s why we offer a generous and flexible PTO policy. Full-time employees accrue 20 days of PTO for a full calendar year annually, with an increase to 25 days after five years of service. Who We Are: Bankrate is where Americans go to get the best price on life's most important financial decisions. By combining proprietary data, advanced technology, and deep market coverage, Bankrate helps consumers compare options and make confident financial choices across mortgages, credit cards, savings, and more. As a rate provider to the Federal Reserve and the benchmark relied upon by major publishers and policymakers nationwide, Bankrate's rate data is the national standard. This commitment to precision is reflected across all its products. In mortgages, proprietary auction technology puts lenders in real-time competition on price alone, consistently delivering rates in the lowest 10% in the country. For deposits, the platform features exclusively top-tier rates in the top 10% nationally, while its credit card coverage encompasses more than 90% of the market by volume. Founded by a journalist, Bankrate remains dedicated to its founding mission of transparency, honest information, and real competition — helping to make the American dream more affordable for everyone. Red Ventures is an equal opportunity employer that does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or any other basis protected by law. Employment at Red Ventures is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunities to qualified individuals with disabilities. This includes providing reasonable accommodation where appropriate. Should you require a reasonable accommodation to apply or participate in the job application or interview process, please contact accommodation@redventures.com. If you are based in California, we encourage you to read this important information for California residents linked here . At Red Ventures, we believe in real human connection. That’s why we do not hire someone through text, social media, or email only. As part of the hiring process, you should expect live conversations with RV teammates before any offer is made. Also, keep an eye on the sender: we only use official @redventures.com email addresses at the portfolio level or business specific email addresses (e.g., @thepointsguy.com), not ones like “redventurescareer.com.” We will never ask candidates to send money, buy equipment, or share financial account info during your journey with us. You can always find our open roles on redventures.com— if you receive a message that seems suspicious, please use redventures.com to verify the opportunity. For more, the U.S. Federal Trade Commission has published helpful articles to help individuals learn more about protecting themselves from recruiter scams. If you think you’ve been targeted, feel free to report it to your local authorities. Stay safe out there! Click here for more details regarding the employee privacy policy: https://www.redventures.com/legal/us-emp-privacy-notice Questions about this Privacy Notice can be directed to employeerights@redventures.com . Alternatively, you may raise any questions or concerns to your manager, HR Business Partner, or through the Privacy Team.4f:T23bf,

*This role is open to remote or hybrid candidates (East Coast preference), with hybrid being central to our New York, NY or Charlotte area offices. Must be able to work Eastern Standard Time hours.

For the Bankrate website click here. Curious how Bankrate fits into Red Ventures? Click here.

At Bankrate, we help millions of people make smarter financial decisions — and the engineers who build our products are central to making that possible. As a Senior Software Engineer, you'll design and deliver the scalable, secure, and maintainable systems that power Bankrate's digital experiences, operating with strong autonomy and bringing deep technical judgment to complex problems. Senior Engineers here don't just write great code — they shape architecture, champion engineering standards, and connect their work directly to customer and business outcomes.

What You’ll Do:

Design and implement scalable, secure, and maintainable systems within a team or product area
Contribute to the evolution of technical architecture and engineering patterns in alignment with organizational standards
Build and optimize continuous delivery pipelines, improving deployment speed and reliability
Partner with product and design peers to translate business objectives into actionable technical work
Scope, estimate, and deliver medium-to-large initiatives with minimal oversight
Collaborate across teams to resolve technical challenges, dependencies, and integration issues
Mentor engineers through code reviews, pair programming, design discussions, and collaborative problem-solving
Contribute to the definition and improvement of team-level engineering practices and technical standards
Evaluate tools, techniques, and technologies that could improve team and business outcomes, and bring relevant insights back to the team

What We’re Looking For:

Proficiency in multiple programming languages and deep expertise in at least one technology domain
Strong understanding of software architecture principles and the ability to apply them effectively within team scope
Experience designing distributed systems, APIs, and cloud-based services
Proven ability to make informed tradeoffs balancing cost, scalability, security, and maintainability
Consistent track record of delivering end-to-end solutions independently, from design through production
Effective communicator who can influence decisions and translate complex technical concepts clearly for both technical and non-technical audiences
Deep fluency in TypeScript across API services and full-stack web applications, including strong typing practices that enforce correctness across API boundaries
Strong working knowledge of cloud infrastructure (AWS preferred), infrastructure-as-code, and CI/CD automation
Proven track record of applying observability and APM tooling, performance monitoring, and CDN/edge delivery practices to improve system reliability and speed, and contributing to code quality, design consistency, and operational reliability across the team
Demonstrated ability to evaluate and adopt AI coding tools (such as Claude Code, Codex, Cursor, Windsurf, or Copilot) to raise team throughput and reduce toil, while maintaining a high review and quality bar

Compensation:

Total Cash Compensation Range: $100,000 – $195,000 per year

New York City Total Cash Compensation Range: $125,000 – $243,000 per year

This role is eligible for a target bonus, which is included in the Total Cash Compensation Range. Actual compensation varies based on location, experience, and qualifications.

Additionally, the following benefits are provided by Red Ventures, subject to eligibility requirements.

Health Insurance Coverage (medical, dental, and vision)
Life Insurance
Short and Long-Term Disability Insurance
Flexible Spending Accounts
Holiday Pay
401(k) with match
Employee Assistance Program
Paid Parental Bonding Benefit Program
Flexible Paid Time Off (PTO): We believe time to rest and recharge is essential. That’s why we offer a generous and flexible PTO policy. Full-time employees accrue 20 days of PTO for a full calendar year annually, with an increase to 25 days after five years of service.

Who We Are:

Bankrate is where Americans go to get the best price on life's most important financial decisions. By combining proprietary data, advanced technology, and deep market coverage, Bankrate helps consumers compare options and make confident financial choices across mortgages, credit cards, savings, and more. As a rate provider to the Federal Reserve and the benchmark relied upon by major publishers and policymakers nationwide, Bankrate's rate data is the national standard. This commitment to precision is reflected across all its products. In mortgages, proprietary auction technology puts lenders in real-time competition on price alone, consistently delivering rates in the lowest 10% in the country. For deposits, the platform features exclusively top-tier rates in the top 10% nationally, while its credit card coverage encompasses more than 90% of the market by volume. Founded by a journalist, Bankrate remains dedicated to its founding mission of transparency, honest information, and real competition — helping to make the American dream more affordable for everyone.

Red Ventures is an equal opportunity employer that does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or any other basis protected by law. Employment at Red Ventures is based solely on a person's merit and qualifications.

We are committed to providing equal employment opportunities to qualified individuals with disabilities. This includes providing reasonable accommodation where appropriate. Should you require a reasonable accommodation to apply or participate in the job application or interview process, please contact accommodation@redventures.com.

If you are based in California, we encourage you to read this important information for California residents linked here.

At Red Ventures, we believe in real human connection. That’s why we do not hire someone through text, social media, or email only. As part of the hiring process, you should expect live conversations with RV teammates before any offer is made. Also, keep an eye on the sender: we only use official @redventures.com email addresses at the portfolio level or business specific email addresses (e.g., @thepointsguy.com), not ones like “redventurescareer.com.” We will never ask candidates to send money, buy equipment, or share financial account info during your journey with us. You can always find our open roles on redventures.com— if you receive a message that seems suspicious, please use redventures.com to verify the opportunity.

For more, the U.S. Federal Trade Commission has published helpful articles to help individuals learn more about protecting themselves from recruiter scams. If you think you’ve been targeted, feel free to report it to your local authorities. Stay safe out there!

Click here for more details regarding the employee privacy policy: https://www.redventures.com/legal/us-emp-privacy-notice

Questions about this Privacy Notice can be directed to employeerights@redventures.com. Alternatively, you may raise any questions or concerns to your manager, HR Business Partner, or through the Privacy Team.

50:Teb2,Why Tractable? We combine world-class AI research with real-world applications that make a difference. At Tractable, you’ll collaborate with brilliant minds, work on transformative projects, and contribute to technology that helps people when they need it most. Tractable is a leader in AI for auto repair and insurance, backed by SoftBank, Insight Partners, and Georgian. LUMA is our internal startup: a small Salt Lake City team building a drive-through scanner that pushes vehicle damage assessment toward real-time AI identification and repair estimation. Our Salt Lake City office is home to the small team that designs, builds, and produces the LUMA scanner — hands-on work, close to the hardware. Expect startup pace and real ownership, backed by the data and funding of a company that has already proven the model at scale. About the role We’re building LUMA, a drive-through vehicle inspection scanner that combines multi-camera capture, active illumination, and multiple sensor modalities to produce high-fidelity vehicle imagery and measurements. We’re looking for an Embedded Systems Engineer to help build and evolve the device-side (edge) software and firmware stack — controlling cameras and sensors, synchronizing capture, and building new measurement capabilities. The role sits at the intersection of embedded software, hardware integration, and sensor/vision data processing. You’ll take features from quick prototype through to production-grade reliability, and you’ll see them run on real vehicles. What you’ll do Build and maintain embedded Linux software and firmware for the camera and sensor stack. Maintain and improve camera control software: triggering, timing, health monitoring, and error recovery. Maintain and improve sensor control software: presence/distance/measurement sensors, calibration, and fault handling. Build signal processing pipelines - e.g. converting laser-triangulation outputs into 2D tread-depth maps, post-processing stereo depth, filtering/denoising, and coordinate transforms. Prototype fast, then harden to production-grade reliability. Support integration and deployments: bring up new modules, validate in the lab and on-vehicle, debug issues, and ship fixes. What we’re looking for 3+ years of experience in embedded engineering. Production coding in C/C++ and/or Python, backed by strong software engineering fundamentals (OOP, testing, debugging, version control). Embedded Linux expertise, including system services, supervision, logging, and performance profiling. Hands-on hardware & sensor integration using standard protocols (UART, I2C, SPI, GPIO) and industrial interfaces (RS-485, CAN, or Modbus). Practical lab & bring-up skills: proficient with oscilloscopes, logic analyzers, multimeters, basic soldering/wiring, and reading datasheets/schematics. Modern developer workflow: experience using AI coding tools (Cursor, Claude Code, OpenAI Codex) to rapidly iterate high-quality code. Ownership mindset: ability to navigate ambiguous requirements, solve tough problems, and ship maintainable systems in a fast-paced environment. What success looks like Camera and sensor stacks run reliably for months, with clear telemetry and graceful recovery. New capabilities move from prototype → validated pipeline → production release. Hardware bring-up gets faster over time as tooling, test harnesses, and standards improve. Contract type: Permanent Compensation: $120-150k + equity Diversity commitment At Tractable, we are committed to building a diverse team and inclusive workplace where people’s varied backgrounds and experiences are valued and recognised. We encourage applications from candidates of all backgrounds and offer equal opportunities without discrimination.51:T1410,

Why Tractable?

We combine world-class AI research with real-world applications that make a difference. At Tractable, you’ll collaborate with brilliant minds, work on transformative projects, and contribute to technology that helps people when they need it most.

Tractable is a leader in AI for auto repair and insurance, backed by SoftBank, Insight Partners, and Georgian. LUMA is our internal startup: a small Salt Lake City team building a drive-through scanner that pushes vehicle damage assessment toward real-time AI identification and repair estimation.

Our Salt Lake City office is home to the small team that designs, builds, and produces the LUMA scanner — hands-on work, close to the hardware. Expect startup pace and real ownership, backed by the data and funding of a company that has already proven the model at scale.

About the role

We’re building LUMA, a drive-through vehicle inspection scanner that combines multi-camera capture, active illumination, and multiple sensor modalities to produce high-fidelity vehicle imagery and measurements.

We’re looking for an Embedded Systems Engineer to help build and evolve the device-side (edge) software and firmware stack — controlling cameras and sensors, synchronizing capture, and building new measurement capabilities. The role sits at the intersection of embedded software, hardware integration, and sensor/vision data processing. You’ll take features from quick prototype through to production-grade reliability, and you’ll see them run on real vehicles.

What you’ll do

Build and maintain embedded Linux software and firmware for the camera and sensor stack.
Maintain and improve camera control software: triggering, timing, health monitoring, and error recovery.
Maintain and improve sensor control software: presence/distance/measurement sensors, calibration, and fault handling.
Build signal processing pipelines - e.g. converting laser-triangulation outputs into 2D tread-depth maps, post-processing stereo depth, filtering/denoising, and coordinate transforms.
Prototype fast, then harden to production-grade reliability.
Support integration and deployments: bring up new modules, validate in the lab and on-vehicle, debug issues, and ship fixes.

What we’re looking for

3+ years of experience in embedded engineering.
Production coding in C/C++ and/or Python, backed by strong software engineering fundamentals (OOP, testing, debugging, version control).
Embedded Linux expertise, including system services, supervision, logging, and performance profiling.
Hands-on hardware & sensor integration using standard protocols (UART, I2C, SPI, GPIO) and industrial interfaces (RS-485, CAN, or Modbus).
Practical lab & bring-up skills: proficient with oscilloscopes, logic analyzers, multimeters, basic soldering/wiring, and reading datasheets/schematics.
Modern developer workflow: experience using AI coding tools (Cursor, Claude Code, OpenAI Codex) to rapidly iterate high-quality code.
Ownership mindset: ability to navigate ambiguous requirements, solve tough problems, and ship maintainable systems in a fast-paced environment.

What success looks like

Camera and sensor stacks run reliably for months, with clear telemetry and graceful recovery.
New capabilities move from prototype → validated pipeline → production release.
Hardware bring-up gets faster over time as tooling, test harnesses, and standards improve.

Contract type: Permanent

Compensation: $120-150k + equity

Diversity commitment

At Tractable, we are committed to building a diverse team and inclusive workplace where people’s varied backgrounds and experiences are valued and recognised.

We encourage applications from candidates of all backgrounds and offer equal opportunities without discrimination.

52:Te92,At Lendbuzz, we believe financial opportunity should be more personalized and fair. We develop innovative technologies that provide underserved and overlooked borrowers with better access to credit. From our employees to our dealers, partners, and borrowers, we’ve built a company and a culture around a resolute belief in the promise and power of diversity. We value independent and critical thinking. Our Platform Engineering group builds internal tools for over a 100 Lendbuzz engineers in Boston & Tel Aviv. We treat the platform as a product: our engineers are our users, we actively collect their feedback, we measure whether what we built is impactful for the organization, and we continuously improve based on feedback and metrics. This position is a unique hybrid of a hands-on technical developer & leader with a highly analytical developer focused product manager. > Note: Prior management experience is not required—we are happy to grow a strong technical candidate into the leadership aspect of the role. Key Responsibilities: ~50% hands on development Work together with your manager, other engineering managers, service owners and champions from various teams to understand their pains and prioritize the teams’ tasks accordingly. Lead a team of engineers with a computer science background, keep their vision focused and aligned with management, teach them how to lead projects effectively, collect feedback and give good service to the engineers of the company Build decentralized ecosystems that are very easy to contribute to with vibe coding (Backstage, CLI tools, Microservice templates, Self Service, HELM Charts values, etc) Drive high-impact, multi-team technical initiatives from ideation to delivery by establishing clear technical standards, defining trackable compliance metrics while securing the buy-in of other engineering leaders Lead Kubernetes (K8s) initiatives. Manage research of cutting edge cloud native technologies Key Requirements: Computer Science degree from a leading university 5+ years of software development experience. 2+ years of experience developing applications on K8S using HELM/Kustomize/Crossplane/CDK/Other Understand the concepts of Platform Engineering well Strong backend development skills in a modern languages: Typescript/Python with Asyncio/Go/Rust/Modern C#/Kotlin. Proficiency with Claude/Codex which includes writing skills, system prompts & delivering features across multiple repos. Preferred: Production experience running services on Kubernetes.. Proven experience writing design documents, presenting them to engineering leaders and answering hard technical questions in fluent English. Experience writing and maintaining internal tools with an impact on developer experience such as: Backstage/Port, internal CLI tools/Microservice templates/infra-related libraries, agentic flows/AI skills Experience working with open source K8S charts such as: K eycloak, Debezium, Airflow, Temporal, a feature flag system or LangSmith What we offer: - A culture that values product ownership, collaborative architectural planning, and building wins for your resume/portfolio as much as for the company. - Smart, dynamic people with whom you can share the experience of building something unique. - Competitive salary with opportunities for growth and advancement. A Note on Recruiting Outreach We’ve been made aware of individuals falsely claiming to represent Lendbuzz using lookalike email addresses (eg @ lendbuzzcareers.com ). Please note that all legitimate emails from our team come from @ lendbuzz.com . We will never ask for sensitive information or conduct interviews via messaging apps.53:T21bf,

At Lendbuzz, we believe financial opportunity should be more personalized and fair. We develop innovative technologies that provide underserved and overlooked borrowers with better access to credit. From our employees to our dealers, partners, and borrowers, we’ve built a company and a culture around a resolute belief in the promise and power of diversity. We value independent and critical thinking.

Our Platform Engineering group builds internal tools for over a 100 Lendbuzz engineers in Boston & Tel Aviv.
We treat the platform as a product: our engineers are our users, we actively collect their feedback, we measure whether what we built is impactful for the organization, and we continuously improve based on feedback and metrics.

This position is a unique hybrid of a hands-on technical developer & leader with a highly analytical developer focused product manager.

> Note: Prior management experience is not required—we are happy to grow a strong technical candidate into the leadership aspect of the role.

Key Responsibilities:

~50% hands on development
Work together with your manager, other engineering managers, service owners and champions from various teams to understand their pains and prioritize the teams’ tasks accordingly.
Lead a team of engineers with a computer science background, keep their vision focused and aligned with management, teach them how to lead projects effectively, collect feedback and give good service to the engineers of the company
Build decentralized ecosystems that are very easy to contribute to with vibe coding (Backstage, CLI tools, Microservice templates, Self Service, HELM Charts values, etc)
Drive high-impact, multi-team technical initiatives from ideation to delivery by establishing clear technical standards, defining trackable compliance metrics while securing the buy-in of other engineering leaders
Lead Kubernetes (K8s) initiatives.
Manage research of cutting edge cloud native technologies

Key Requirements:

Computer Science degree from a leading university
5+ years of software development experience.
2+ years of experience developing applications on K8S using HELM/Kustomize/Crossplane/CDK/Other
Understand the concepts of Platform Engineering well
Strong backend development skills in a modern languages:
Typescript/Python with Asyncio/Go/Rust/Modern C#/Kotlin.
Proficiency with Claude/Codex which includes writing skills, system prompts & delivering features across multiple repos.

Preferred:

Production experience running services on Kubernetes..
Proven experience writing design documents, presenting them to engineering leaders and answering hard technical questions in fluent English.
Experience writing and maintaining internal tools with an impact on developer experience such as:
Backstage/Port, internal CLI tools/Microservice templates/infra-related libraries, agentic flows/AI skills
Experience working with open source K8S charts such as:
Keycloak, Debezium, Airflow, Temporal, a feature flag system or LangSmith

What we offer:

- A culture that values product ownership, collaborative architectural planning, and building wins for your resume/portfolio as much as for the company.

- Smart, dynamic people with whom you can share the experience of building something unique.

- Competitive salary with opportunities for growth and advancement.

A Note on Recruiting Outreach

We’ve been made aware of individuals falsely claiming to represent Lendbuzz using lookalike email addresses (eg @lendbuzzcareers.com). Please note that all legitimate emails from our team come from @lendbuzz.com. We will never ask for sensitive information or conduct interviews via messaging apps.

54:T1252,About Us MintMCP helps companies put agents to work safely. We exist to help companies do more of their work with agents, and we build the infrastructure that makes a company's own work runnable by them. That has to start from trust. Our first product is an MCP gateway that gives those agents governed access to company data and tools. Before agents can touch Slack, GitHub, Jira, Snowflake, internal databases, or production systems, you need to know what they can reach, what they did, and why they were allowed to do it. Most people carry far more permissions than any single task needs. If an agent uses your token directly, it inherits all of them. MintMCP scopes that access down to exactly what an agent needs to do its job and captures the data flows and audit logs security teams need. From there we are building the rest of the agent stack: connectors, monitoring, sandboxing, long-running agents, and memory, with the goal of becoming the system a company's work runs on. We work in person in the San Francisco Bay Area. The structure is flat and the market moves fast, so you have a lot of latitude over what you work on and how. We are AI-native. Everyone uses Claude and Codex every day, and we have more agents than employees. They run in Slack alongside the team and handle sales, marketing, deal ops, and engineering on the same gateway we sell to customers, and we are building an entire company operating system around them. Since launching in February 2026, we have grown to 50+ paying customers, with strong inbound demand. Customers include Coursera, Arlo, and Braze. We are backed by Cowboy Ventures and Coatue, with angels including Frederic Kerrest (Okta), Michael Grinich (WorkOS), Andrej Karpathy, Jeff Dean, and Scott Belsky. Our founders are machine learning experts from Stanford, Berkeley, and CMU, with applied research at Google Brain and Waymo, and one co-founded Coursera. The Job You will own features end to end, from conception to production, across our gateway infrastructure, enterprise deployments, and agentic systems. The work leans backend and infra, but nothing is off limits: when the product needs a better UI you build it, and when a connector breaks during a security review you fix it. Claude and Codex are your primary working environment, and you use a fleet of agents to move faster than a team this size has any right to. Agents write much of the code and review PRs, so your real job is the judgment they cannot make: shaping the problem, making architecture, product, and UX calls, hardening enterprise paths, designing connectors, protecting security-sensitive surfaces, and catching generated code that is quietly wrong. Roles are blurred and we ship within hours, and you will learn directly from the founders and from customers. We hire across levels, from strong early-career builders to seasoned engineers, and we set level and pay to match. What matters most is judgment, range, and how fast you ship. About You You are a builder with a track record of shipping to real users, whether that is a product, an internal tool, an open-source project, or a serious side project. You ship, then iterate, without waiting for specs or approvals. You have strong fundamentals and learn fast. How quickly you pick things up matters as much as years of experience. You care about product value and customer needs over technical purity. You take infra seriously. You think about blast radius, trust boundaries, and what happens when your code is in the path of every customer's agents. You can read unfamiliar code, reason from first principles, and explain your tradeoffs. You are comfortable across the stack (TypeScript, Python, CockroachDB), or you pick up new languages, protocols, and domains fast. You are excited to build with agents, and to learn when they help and when they hide a problem. You already build with AI every day and want room to move without heavy process. Nice to have: Developer-facing products, protocol or gateway work, or infrastructure at scale. Background in security, identity, or permission systems. Contributions to open source, MCP servers, or agentic frameworks. Design sensibility: engineers who care about design, designers who think about infrastructure. What we offer: Competitive compensation and meaningful equity. Unusual scope and ownership of features that ship to enterprise customers. Building and deploying agents on the same platform we sell. Direct access to the founders, customer context, and product direction, with mentorship as you grow. Health benefits, on a team that puts family and health first. Prefer to have your agent apply? Point it at https://www.mintmcp.com/hiring/mcp55:T1973,

About Us

MintMCP helps companies put agents to work safely. We exist to help companies do more of their work with agents, and we build the infrastructure that makes a company's own work runnable by them. That has to start from trust. Our first product is an MCP gateway that gives those agents governed access to company data and tools.

Before agents can touch Slack, GitHub, Jira, Snowflake, internal databases, or production systems, you need to know what they can reach, what they did, and why they were allowed to do it. Most people carry far more permissions than any single task needs. If an agent uses your token directly, it inherits all of them. MintMCP scopes that access down to exactly what an agent needs to do its job and captures the data flows and audit logs security teams need. From there we are building the rest of the agent stack: connectors, monitoring, sandboxing, long-running agents, and memory, with the goal of becoming the system a company's work runs on.

We work in person in the San Francisco Bay Area. The structure is flat and the market moves fast, so you have a lot of latitude over what you work on and how.

We are AI-native. Everyone uses Claude and Codex every day, and we have more agents than employees. They run in Slack alongside the team and handle sales, marketing, deal ops, and engineering on the same gateway we sell to customers, and we are building an entire company operating system around them.

Since launching in February 2026, we have grown to 50+ paying customers, with strong inbound demand. Customers include Coursera, Arlo, and Braze. We are backed by Cowboy Ventures and Coatue, with angels including Frederic Kerrest (Okta), Michael Grinich (WorkOS), Andrej Karpathy, Jeff Dean, and Scott Belsky. Our founders are machine learning experts from Stanford, Berkeley, and CMU, with applied research at Google Brain and Waymo, and one co-founded Coursera.

The Job

You will own features end to end, from conception to production, across our gateway infrastructure, enterprise deployments, and agentic systems. The work leans backend and infra, but nothing is off limits: when the product needs a better UI you build it, and when a connector breaks during a security review you fix it.

Claude and Codex are your primary working environment, and you use a fleet of agents to move faster than a team this size has any right to. Agents write much of the code and review PRs, so your real job is the judgment they cannot make: shaping the problem, making architecture, product, and UX calls, hardening enterprise paths, designing connectors, protecting security-sensitive surfaces, and catching generated code that is quietly wrong. Roles are blurred and we ship within hours, and you will learn directly from the founders and from customers.

We hire across levels, from strong early-career builders to seasoned engineers, and we set level and pay to match. What matters most is judgment, range, and how fast you ship.

About You

You are a builder with a track record of shipping to real users, whether that is a product, an internal tool, an open-source project, or a serious side project. You ship, then iterate, without waiting for specs or approvals.
You have strong fundamentals and learn fast. How quickly you pick things up matters as much as years of experience.
You care about product value and customer needs over technical purity.
You take infra seriously. You think about blast radius, trust boundaries, and what happens when your code is in the path of every customer's agents.
You can read unfamiliar code, reason from first principles, and explain your tradeoffs.
You are comfortable across the stack (TypeScript, Python, CockroachDB), or you pick up new languages, protocols, and domains fast.
You are excited to build with agents, and to learn when they help and when they hide a problem.
You already build with AI every day and want room to move without heavy process.

Nice to have:

Developer-facing products, protocol or gateway work, or infrastructure at scale.
Background in security, identity, or permission systems.
Contributions to open source, MCP servers, or agentic frameworks.
Design sensibility: engineers who care about design, designers who think about infrastructure.

What we offer:

Competitive compensation and meaningful equity.
Unusual scope and ownership of features that ship to enterprise customers.
Building and deploying agents on the same platform we sell.
Direct access to the founders, customer context, and product direction, with mentorship as you grow.
Health benefits, on a team that puts family and health first.

Prefer to have your agent apply? Point it at https://www.mintmcp.com/hiring/mcp

56:Tf96,About us We're an independent European digital product studio with a strong track record of delivering market-defining strategies and products for enterprises and governments. With about 200 talented people across three countries, premium AI capabilities and a diverse portfolio of international clients, we define, design and ship high-quality digital products, strategies and software. From global cloud-based platforms and large-scale apps to medical devices, banking software and augmented reality experiences. In a nutshell: if it lives and breathes digital, it’s what we do best. Become a part of our team At In The Pocket, you join a multidisciplinary team of designers, engineers, strategists and data specialists who care about the work as much as the people they work with. We work in small, autonomous teams that stay close to our clients and their users, and we give everyone the space to take ownership, speak up and grow. You’ll learn from colleagues across our studios, ship products that reach thousands or even millions of people and help shape what digital can do for leading organisations in Europe. What you’ll do In this role, you'll build and maintain the backend services that power our applications. You'll work closely with senior engineers, frontend engineers and DevOps colleagues, who will support you as you take on more ownership and grow your technical skills. Build and maintain backend APIs in TypeScript and Node.js, following secure and clean coding practices. Contribute to cloud infrastructure on AWS, with guidance from more experienced colleagues. Work with infrastructure-as-code (e.g. Terraform) and CI/CD pipelines to help automate deployments. Apply security best practices (OWASP) in your daily work. Investigate, debug and fix backend issues, and learn how to tackle more complex ones over time. Write tests and take part in code reviews, both giving and receiving feedback. Use AI tools (e.g. Claude, Codex) in your development workflow to write code, support reviews and work more efficiently. Keep learning: stay curious about new backend and cloud technologies and share what you learn with the team. Who you are Solid knowledge of TypeScript and Node.js (2+ years of experience). Experience building REST or GraphQL APIs. Hands-on experience with at least one relational or NoSQL database (e.g. PostgreSQL, MySQL, MongoDB, Redis). Familiarity with Docker; exposure to Kubernetes is a plus. Some experience with a cloud platform, ideally AWS, or a strong motivation to learn it. Basic understanding of authentication concepts (e.g. OAuth, OpenID Connect). Awareness of security best practices (OWASP) and testing. Interest in, or some exposure to, messaging systems (e.g. SQS, SNS, RabbitMQ, Kafka) and DevOps practices like CI/CD and infrastructure-as-code. Good problem-solving and debugging skills. Eagerness to learn, take feedback and grow toward more ownership. Good communication and collaboration skills. You use AI tools (e.g. Claude, Codex) to support your daily development work. You communicate fluently in English. What we offer Joining In The Pocket means becoming part of a team that shapes the future of our clients’ businesses across Europe. Here’s what you can look forward to: You’ll start with a permanent contract in a role that comes with responsibility and the opportunity to make a real impact from day one. We offer a competitive salary that reflects your experience and the value you bring. Our benefits package has you covered with medical insurance, meal vouchers, and more. You’ll have a mobility budget that lets you decide how to get around, your way. Life at In The Pocket isn’t just about work, we host team events throughout the year to celebrate, connect, and have fun together. Learning never stops here, so after six months, you’ll receive a dedicated learning and development budget to keep growing your skills and exploring new horizons. 57:T1145,

About us

We're an independent European digital product studio with a strong track record of delivering market-defining strategies and products for enterprises and governments. With about 200 talented people across three countries, premium AI capabilities and a diverse portfolio of international clients, we define, design and ship high-quality digital products, strategies and software. From global cloud-based platforms and large-scale apps to medical devices, banking software and augmented reality experiences. In a nutshell: if it lives and breathes digital, it’s what we do best.

Become a part of our team

At In The Pocket, you join a multidisciplinary team of designers, engineers, strategists and data specialists who care about the work as much as the people they work with. We work in small, autonomous teams that stay close to our clients and their users, and we give everyone the space to take ownership, speak up and grow. You’ll learn from colleagues across our studios, ship products that reach thousands or even millions of people and help shape what digital can do for leading organisations in Europe.

What you’ll do

In this role, you'll build and maintain the backend services that power our applications. You'll work closely with senior engineers, frontend engineers and DevOps colleagues, who will support you as you take on more ownership and grow your technical skills.

Build and maintain backend APIs in TypeScript and Node.js, following secure and clean coding practices.
Contribute to cloud infrastructure on AWS, with guidance from more experienced colleagues.
Work with infrastructure-as-code (e.g. Terraform) and CI/CD pipelines to help automate deployments.
Apply security best practices (OWASP) in your daily work.
Investigate, debug and fix backend issues, and learn how to tackle more complex ones over time.
Write tests and take part in code reviews, both giving and receiving feedback.
Use AI tools (e.g. Claude, Codex) in your development workflow to write code, support reviews and work more efficiently.
Keep learning: stay curious about new backend and cloud technologies and share what you learn with the team.

Who you are

Solid knowledge of TypeScript and Node.js (2+ years of experience).
Experience building REST or GraphQL APIs.
Hands-on experience with at least one relational or NoSQL database (e.g. PostgreSQL, MySQL, MongoDB, Redis).
Familiarity with Docker; exposure to Kubernetes is a plus.
Some experience with a cloud platform, ideally AWS, or a strong motivation to learn it.
Basic understanding of authentication concepts (e.g. OAuth, OpenID Connect).
Awareness of security best practices (OWASP) and testing.
Interest in, or some exposure to, messaging systems (e.g. SQS, SNS, RabbitMQ, Kafka) and DevOps practices like CI/CD and infrastructure-as-code.
Good problem-solving and debugging skills.
Eagerness to learn, take feedback and grow toward more ownership.
Good communication and collaboration skills.
You use AI tools (e.g. Claude, Codex) to support your daily development work.
You communicate fluently in English.

What we offer

Joining In The Pocket means becoming part of a team that shapes the future of our clients’ businesses across Europe. Here’s what you can look forward to:

You’ll start with a permanent contract in a role that comes with responsibility and the opportunity to make a real impact from day one.
We offer a competitive salary that reflects your experience and the value you bring.
Our benefits package has you covered with medical insurance, meal vouchers, and more.
You’ll have a mobility budget that lets you decide how to get around, your way.
Life at In The Pocket isn’t just about work, we host team events throughout the year to celebrate, connect, and have fun together.
Learning never stops here, so after six months, you’ll receive a dedicated learning and development budget to keep growing your skills and exploring new horizons.

58:T10e6,About us We're an independent European digital product studio with a strong track record of delivering market-defining strategies and products for enterprises and governments. With about 200 talented people across three countries, premium AI capabilities and a diverse portfolio of international clients, we define, design and ship high-quality digital products, strategies and software. From global cloud-based platforms and large-scale apps to medical devices, banking software and augmented reality experiences. In a nutshell: if it lives and breathes digital, it’s what we do best. Become a part of our team At In The Pocket, you join a multidisciplinary team of designers, engineers, strategists and data specialists who care about the work as much as the people they work with. We work in small, autonomous teams that stay close to our clients and their users, and we give everyone the space to take ownership, speak up and grow. You’ll learn from colleagues across our studios, ship products that reach thousands or even millions of people and help shape what digital can do for leading organisations in Europe. What you’ll do In this role, you will be responsible for designing, developing, and maintaining robust backend services that power our applications. You will work closely with frontend engineers, DevOps professionals, and cloud architects to ensure a seamless and efficient development process. You should also be a strong technical mentor, supporting and guiding colleagues to help the team grow. Design, develop, and implement backend APIs using secure and efficient programming languages and frameworks. Migrate and manage cloud infrastructure on platforms like AWS. Automate backend deployments and infrastructure provisioning using infrastructure-as-code (IaC) tools like Terraform. Optimize cloud resource utilization for cost-effectiveness and scalability. Implement robust security measures to protect applications and data in the cloud (OWASP). Troubleshoot and debug complex backend issues. Stay up-to-date with the latest trends and innovations in cloud technologies. Use AI tools (e.g., Claude, Codex, etc) in your development workflow to enhance code writing, support code reviews, and improve productivity. Act as a mentor for colleagues, providing guidance, support, and knowledge sharing to help the team grow. Who you are Excellent knowledge of TypeScript (5+ years of experience). Proven experience working with cloud platforms like AWS. Experience with containerization technologies such as Docker and Kubernetes. Good knowledge of authentication technologies, including OAuth, OpenID Connect, and SAML. Strong knowledge of database technologies, both relational and NoSQL (MySQL, PostgreSQL, MongoDB, Redis). Good understanding of messaging and broker systems (Pub/Sub, RabbitMQ, Kafka, SNS, SQS). Solid understanding of security concepts and best practices (OWASP). Familiarity with DevOps practices, including infrastructure-as-code, observability, and CI/CD. Good understanding of quality engineering practices. Excellent problem-solving and debugging skills. Strong communication and collaboration skills. Passion for building high-quality, scalable, and secure software. Use AI tools (e.g., Claude, Codex, etc) to support your daily development work and improve code quality. Knowledge of Domain-Driven Design (DDD) is an asset. You communicate fluently in English. What we offer Joining In The Pocket means becoming part of a team that shapes the future of our clients’ businesses across Europe. Here’s what you can look forward to: You’ll start with a permanent contract in a role that comes with responsibility and the opportunity to make a real impact from day one. We offer a competitive salary that reflects your experience and the value you bring. Our benefits package has you covered with medical insurance, meal vouchers, and more. You’ll have a mobility budget that lets you decide how to get around, your way. Life at In The Pocket isn’t just about work, we host team events throughout the year to celebrate, connect, and have fun together. Learning never stops here, so after six months, you’ll receive a dedicated learning and development budget to keep growing your skills and exploring new horizons. 59:T154e,

About us

Become a part of our team

What you’ll do

In this role, you will be responsible for designing, developing, and maintaining robust backend services that power our applications. You will work closely with frontend engineers, DevOps professionals, and cloud architects to ensure a seamless and efficient development process. You should also be a strong technical mentor, supporting and guiding colleagues to help the team grow.

Design, develop, and implement backend APIs using secure and efficient programming languages and frameworks.
Migrate and manage cloud infrastructure on platforms like AWS.
Automate backend deployments and infrastructure provisioning using infrastructure-as-code (IaC) tools like Terraform.
Optimize cloud resource utilization for cost-effectiveness and scalability.
Implement robust security measures to protect applications and data in the cloud (OWASP).
Troubleshoot and debug complex backend issues.
Stay up-to-date with the latest trends and innovations in cloud technologies.
Use AI tools (e.g., Claude, Codex, etc) in your development workflow to enhance code writing, support code reviews, and improve productivity.
Act as a mentor for colleagues, providing guidance, support, and knowledge sharing to help the team grow.

Who you are

Excellent knowledge of TypeScript (5+ years of experience).
Proven experience working with cloud platforms like AWS.
Experience with containerization technologies such as Docker and Kubernetes.
Good knowledge of authentication technologies, including OAuth, OpenID Connect, and SAML.
Strong knowledge of database technologies, both relational and NoSQL (MySQL, PostgreSQL, MongoDB, Redis).
Good understanding of messaging and broker systems (Pub/Sub, RabbitMQ, Kafka, SNS, SQS).
Solid understanding of security concepts and best practices (OWASP).
Familiarity with DevOps practices, including infrastructure-as-code, observability, and CI/CD.
Good understanding of quality engineering practices.
Excellent problem-solving and debugging skills.
Strong communication and collaboration skills.
Passion for building high-quality, scalable, and secure software.
Use AI tools (e.g., Claude, Codex, etc) to support your daily development work and improve code quality.
Knowledge of Domain-Driven Design (DDD) is an asset.
You communicate fluently in English.

What we offer

Joining In The Pocket means becoming part of a team that shapes the future of our clients’ businesses across Europe. Here’s what you can look forward to:

You’ll start with a permanent contract in a role that comes with responsibility and the opportunity to make a real impact from day one.
We offer a competitive salary that reflects your experience and the value you bring.
Our benefits package has you covered with medical insurance, meal vouchers, and more.
You’ll have a mobility budget that lets you decide how to get around, your way.
Life at In The Pocket isn’t just about work, we host team events throughout the year to celebrate, connect, and have fun together.
Learning never stops here, so after six months, you’ll receive a dedicated learning and development budget to keep growing your skills and exploring new horizons.

5a:T12ae,At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you. So, what’s the role all about? The Software Engineer develops tests and maintains the NICE CXone software platform. Key responsibilities include all tiers of the NICE CXone technology, including (but not limited to) design and development of NICE CXone products and features, unit testing, code reviews, resolving defects encountered during the QA cycle, supporting the production environment, and assisting other developers in a team environment utilizing agile development processes. How You’ll Make an Impact Work as an Individual Contributor on complex Reporting based projects Should be able to interpret the business requirements and discuss with technical team/designers Participate in technology evaluations and Proof of Concepts Bachelors in computer science 3+ years of hands-on experience as a Java Developer (Web & Server side using Java) Strong OO design and code skills Expertise in application development using Java, J2EE, Spring, Spring boot, Hibernate, web services standards and related technologies ( JSON, REST) Demonstrated experience with multi-tier web application development Solid understanding of relational database concepts Exposure & hands-on experience with Agile framework & DevOps tools Experience with automation in unit and system level (jUnit/TestNG) Strong understanding of Performance Tuning and troubleshooting. Strong analytical and problem-Solving abilities Experience to write integration tests using the cucumber framework Excellent verbal, written communication, interpersonal, and presentation skills Have you got what it takes? Partner with AI Transformation Leads to deliver software that moves client metrics Operate in cockpit mode. You steer. Your agents execute. Claude Code, Codex, and others write code, run tests, open PRs, update tickets, read and prioritize your email - GitHub, Jira, calendar, all of it. You engage with these systems through your agents, not around them. And you set that standard for your team Break hard engineering problems into shippable pieces and get them out the door Make smart trade-offs between elegant code and shipping fast Build AI-powered solutions - LLMs, agents, automation. Hands on experience with Continuous Integration/Delivery and Test-Driven Development Demonstrated ability to influence others, especially in sensitive or complex situations Great initiative: proven ability to tackle projects with a can-do attitude Proven experience in operating within a global environment Comfortable with working in a complex matrix environment Very strong verbal and written English skills What’s in it for you? Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NiCE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NiCEr! Enjoy NiCE-FLEX! At NiCE, we work according to the NiCE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere Requisition Number: 11804 Reporting Into: Tech Manager Role Type: Individual Contributor About NiCE NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions. Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries. NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law. 5b:T1587,

At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you.

So, what’s the role all about?

The Software Engineer develops tests and maintains the NICE CXone software platform. Key responsibilities include all tiers of the NICE CXone technology, including (but not limited to) design and development of NICE CXone products and features, unit testing, code reviews, resolving defects encountered during the QA cycle, supporting the production environment, and assisting other developers in a team environment utilizing agile development processes.

How You’ll Make an Impact

Work as an Individual Contributor on complex Reporting based projects
Should be able to interpret the business requirements and discuss with technical team/designers
Participate in technology evaluations and Proof of Concepts
Bachelors in computer science
3+ years of hands-on experience as a Java Developer (Web & Server side using Java)
Strong OO design and code skills
Expertise in application development using Java, J2EE, Spring, Spring boot, Hibernate, web services standards and related technologies ( JSON, REST)
Demonstrated experience with multi-tier web application development
Solid understanding of relational database concepts
Exposure & hands-on experience with Agile framework & DevOps tools
Experience with automation in unit and system level (jUnit/TestNG)
Strong understanding of Performance Tuning and troubleshooting.
Strong analytical and problem-Solving abilities
Experience to write integration tests using the cucumber framework
Excellent verbal, written communication, interpersonal, and presentation skills

Have you got what it takes?

Partner with AI Transformation Leads to deliver software that moves client metrics
Operate in cockpit mode. You steer. Your agents execute. Claude Code, Codex, and others write code, run tests, open PRs, update tickets, read and prioritize your email - GitHub, Jira, calendar, all of it. You engage with these systems through your agents, not around them. And you set that standard for your team
Break hard engineering problems into shippable pieces and get them out the door
Make smart trade-offs between elegant code and shipping fast
Build AI-powered solutions - LLMs, agents, automation.
Hands on experience with Continuous Integration/Delivery and Test-Driven Development
Demonstrated ability to influence others, especially in sensitive or complex situations
Great initiative: proven ability to tackle projects with a can-do attitude
Proven experience in operating within a global environment
Comfortable with working in a complex matrix environment
Very strong verbal and written English skills

What’s in it for you?

Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NiCE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NiCEr!

Enjoy NiCE-FLEX!

At NiCE, we work according to the NiCE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere

Requisition Number: 11804

Reporting Into: Tech Manager

Role Type: Individual Contributor

About NiCE

NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions.

Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries.

NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.

5c:T1c72,Good Systems is the parent company behind Goodnotes, where millions of people capture and develop their ideas. Goodnotes is where we started, and it’s now the foundation for a growing family of products. By reimagining how we interact with information, we’re bringing together human creativity and the breakthrough capabilities of AI. We build products that help people turn good thinking into good work. Our Values Dream big Be visionary, strategic, and open to innovation Build great things Work in service of our users, always improving and pushing higher Operate like an owner Take responsibility with bold decision-making and bias for action Win like a sports team Be trusting and collaborative while empowering others Learn and grow fast Never stop learning and iterate fast Share our passion Share ideas and practice enthusiasm and joy Be user obsessed Empathetic, inquisitive, practical About the role You will join Paddington, our AI-native product line inside Goodnotes, and work directly with Steven, our founder, and a small team shipping new products. Engineers own the full cycle: they design, build, test, ship, and operate what they ship. Coding agents write the product code, and the engineer who merges it owns what lands. You will ship product changes with a squad and build the harness around those agents: guides and automated checks that catch defects and performance regressions before the code merges. When a defect reaches users, or a user-facing path gets slower, you change the product code or the check and show the measurement. You'll be an individual contributor reporting to the Engineering Manager. We hire at Senior level and welcome Staff-level candidates. This role will be required to work on-site, 5 days per week in our London Paddington office This is a permanent role This role does not include visa sponsorship This is the role for you if you're excited to work on: You start in a product squad on day one and ship code users can run. You keep 20 to 30 percents of your time in a squad after that, and the checks you write come from that release path. You design the guides and checks that steer the coding agent before it edits and correct the edit after. Fast, deterministic checks run in the agent session and at pre-commit. Slower checks run in CI. Every message tells the agent how to fix the finding. You track which checks fire and remove the ones that never do. You improve the software users run. You take a defect class or a performance regression that reached them, change the product code or add a check aimed at that class, and publish escaped defects per release with the performance numbers for that product. We build for iOS, Android, Mac, Windows, web, and backend. You have shipped on at least one of them. You package the guides and checks per platform so a new repo starts with them in place. You write each check so another engineer can add the next one. Squads choose what to adopt, so the check has to earn its place. The skills you will need to be successful: 5 or more years as a software engineer shipping features, services, or app changes to users, in at least one of Swift, TypeScript, Rust, Go, or Java. You still write and merge code in that language. Static analysis you built for a team: custom lint rules, dependency rules, and messages that describe the fix. Pre-commit and CI you designed, with fast checks early and slow checks after integration. Daily use of a coding agent such as Claude Code, Cursor, or Codex to write product code, and a guide, lint rule, or eval you committed that runs on the agent's next edit. A performance change in product code you can walk through. Startup, latency, memory, battery, or throughput, with the before and after measurement from the product or its benchmark. A tool you built that other engineers adopted and extended on their own. Judgment about when a check is enough. A long rule list slows the engineers and the agents. You work with engineers, designers, and product. You set your own agenda, act before you are asked, and handle ambiguity and conflict. Preferred: LLM-as-judge checks or eval suites for the product's output, or for an agent-written diff. Architecture fitness functions you wired into CI for performance, security, or observability. Shipped work on iOS or Android and on a server or web codebase. A full-cycle team where you operated what you built after it shipped. The interview process: Talent Intro Call: A conversation with our Talent Acquisition team to dive into your experience, what motivates you, and why you're interested in joining Goodnotes. Technical Pre-screen : A short Software Engineering-focused online rapid-fire questions round. Role-Specific Assessment: A live session in our London Paddington office, focused on the core technical skills for this role. You use your own coding agent on a hands-on exercise, then talk through how you would design the harness. This is your chance to show us how you tackle real-world challenges. Hiring Manager Interview: A deeper dive into your professional background, your preferred ways of working, and the specific impact you'll have within the team. Values-Based Panel Interview: A conversation with 2-3 team members centred on our company values. We'll discuss past experiences to see how your approach aligns with our culture. AI Literacy: As an AI-first company, we'll meet with one of our AI champions to discuss your curiosity, understanding, and practical use of AI tools in your daily workflow. What's in it for you: Customized Growth & Wellness Budgets: We provide dedicated stipends for the things that keep you at your best, including noise-cancelling headphones for deep focus, professional training, personal development, and health and wellness activities. Global Connectivity: While we embrace flexible work, we love seeing each other. We provide sponsored visits to our beautiful office locations to foster face-to-face collaboration. Company-Wide Offsites: Once a year, we gather the entire global team in person to celebrate our wins, align on our vision, and build lasting connections. Comprehensive Health Coverage: Your well-being is our priority. We offer premium medical insurance for you and a dependent to ensure peace of mind for you and your family. 24 remote working days per year: Giving you the freedom to work from a location that suits your life. Whether that's closer to family, while travelling, or simply a change of scenery to refresh your focus. Goodnotes is committed to fostering a diverse, inclusive, and equitable workplace. We welcome applications from individuals of all backgrounds, identities, and experiences, making all employment decisions based strictly on merit, qualifications, and business needs. Note: Employment is contingent upon successful completion of background checks, including verification of employment, education, and criminal records. By submitting your application, you acknowledge that you have read and understood our Candidate Privacy Notice, which provides important information about the data we collect during the application process. You can find it here . 5d:T340b,

Good Systems is the parent company behind Goodnotes, where millions of people capture and develop their ideas.
Goodnotes is where we started, and it’s now the foundation for a growing family of products. By reimagining how we interact with information, we’re bringing together human creativity and the breakthrough capabilities of AI.
We build products that help people turn good thinking into good work.

Our Values

Dream big

Be visionary, strategic, and open to innovation

Build great things

Work in service of our users, always improving and pushing higher

Operate like an owner

Take responsibility with bold decision-making and bias for action

Win like a sports team

Be trusting and collaborative while empowering others

Learn and grow fast

Never stop learning and iterate fast

Share our passion

Share ideas and practice enthusiasm and joy

Be user obsessed

Empathetic, inquisitive, practical

About the role

You will join Paddington, our AI-native product line inside Goodnotes, and work directly with Steven, our founder, and a small team shipping new products. Engineers own the full cycle: they design, build, test, ship, and operate what they ship. Coding agents write the product code, and the engineer who merges it owns what lands.

You will ship product changes with a squad and build the harness around those agents: guides and automated checks that catch defects and performance regressions before the code merges. When a defect reaches users, or a user-facing path gets slower, you change the product code or the check and show the measurement. You'll be an individual contributor reporting to the Engineering Manager. We hire at Senior level and welcome Staff-level candidates.

This role will be required to work on-site, 5 days per week in our London Paddington office
This is a permanent role
This role does not include visa sponsorship

This is the role for you if you're excited to work on:

You start in a product squad on day one and ship code users can run. You keep 20 to 30 percents of your time in a squad after that, and the checks you write come from that release path.
You design the guides and checks that steer the coding agent before it edits and correct the edit after. Fast, deterministic checks run in the agent session and at pre-commit. Slower checks run in CI. Every message tells the agent how to fix the finding. You track which checks fire and remove the ones that never do.
You improve the software users run. You take a defect class or a performance regression that reached them, change the product code or add a check aimed at that class, and publish escaped defects per release with the performance numbers for that product.
We build for iOS, Android, Mac, Windows, web, and backend. You have shipped on at least one of them. You package the guides and checks per platform so a new repo starts with them in place.
You write each check so another engineer can add the next one. Squads choose what to adopt, so the check has to earn its place.

The skills you will need to be successful:

5 or more years as a software engineer shipping features, services, or app changes to users, in at least one of Swift, TypeScript, Rust, Go, or Java. You still write and merge code in that language.
Static analysis you built for a team: custom lint rules, dependency rules, and messages that describe the fix. Pre-commit and CI you designed, with fast checks early and slow checks after integration.
Daily use of a coding agent such as Claude Code, Cursor, or Codex to write product code, and a guide, lint rule, or eval you committed that runs on the agent's next edit.
A performance change in product code you can walk through. Startup, latency, memory, battery, or throughput, with the before and after measurement from the product or its benchmark.
A tool you built that other engineers adopted and extended on their own.
Judgment about when a check is enough. A long rule list slows the engineers and the agents.
You work with engineers, designers, and product. You set your own agenda, act before you are asked, and handle ambiguity and conflict.

Preferred:

LLM-as-judge checks or eval suites for the product's output, or for an agent-written diff.
Architecture fitness functions you wired into CI for performance, security, or observability.
Shipped work on iOS or Android and on a server or web codebase.
A full-cycle team where you operated what you built after it shipped.

The interview process:

Talent Intro Call: A conversation with our Talent Acquisition team to dive into your experience, what motivates you, and why you're interested in joining Goodnotes.
Technical Pre-screen: A short Software Engineering-focused online rapid-fire questions round.
Role-Specific Assessment: A live session in our London Paddington office, focused on the core technical skills for this role. You use your own coding agent on a hands-on exercise, then talk through how you would design the harness. This is your chance to show us how you tackle real-world challenges.
Hiring Manager Interview: A deeper dive into your professional background, your preferred ways of working, and the specific impact you'll have within the team.
Values-Based Panel Interview: A conversation with 2-3 team members centred on our company values. We'll discuss past experiences to see how your approach aligns with our culture.
AI Literacy: As an AI-first company, we'll meet with one of our AI champions to discuss your curiosity, understanding, and practical use of AI tools in your daily workflow.

What's in it for you:

Customized Growth & Wellness Budgets: We provide dedicated stipends for the things that keep you at your best, including noise-cancelling headphones for deep focus, professional training, personal development, and health and wellness activities.
Global Connectivity: While we embrace flexible work, we love seeing each other. We provide sponsored visits to our beautiful office locations to foster face-to-face collaboration.
Company-Wide Offsites: Once a year, we gather the entire global team in person to celebrate our wins, align on our vision, and build lasting connections.
Comprehensive Health Coverage: Your well-being is our priority. We offer premium medical insurance for you and a dependent to ensure peace of mind for you and your family.
24 remote working days per year: Giving you the freedom to work from a location that suits your life. Whether that's closer to family, while travelling, or simply a change of scenery to refresh your focus.

Goodnotes is committed to fostering a diverse, inclusive, and equitable workplace. We welcome applications from individuals of all backgrounds, identities, and experiences, making all employment decisions based strictly on merit, qualifications, and business needs.

Note: Employment is contingent upon successful completion of background checks, including verification of employment, education, and criminal records.

By submitting your application, you acknowledge that you have read and understood our Candidate Privacy Notice, which provides important information about the data we collect during the application process. You can find it here.

5e:T1547,Peek is the operating system powering the experiences industry - from museums and attractions to tours and activities. With over $7B in bookings, Peek’s AI-powered platform has helped thousands of merchants to increase revenues, save time, and deliver seamless guest experiences. Customers include MoMA, Whitney Museum, Seattle Aquarium, Bryant Park & Looping Group. The company has raised over $150 million from institutional investors Westcap, Goldman Sachs, and SpringCoast Partners. Learn more at www.peek.com . As a remote-first company recognized by Forbes as one of America's Best Startup Employers and by Built In as a 2025 and 2026 Best Place to Work, we are a global team of "Peeksters" who "Obsess Over Our Customers," "Accomplish Big Things," "Collaborate With Purpose," and "Get Better Every Day. Do you love crafting beautiful and functional customer experiences? Want to work on interesting technical problems around integrations and payments? Do you have a passion for Elixir and functional programming with a focus on building large, complex systems at scale? Peek is looking for a Senior Backend Engineer. The ideal candidate has 5+ years of development experience with Elixir, experience working with GraphQL APIs, MySQL, and familiarity with messaging queues such as RabbitMQ. In this role you will have the opportunity to take ownership of critical product areas and use AI tools as a force multiplier on top of your strong fundamentals. Our engineering group works on several different products and systems: our Peek Pro operations management suite, embeddable scheduling & booking flows, and custom development services for our enterprise customers. This role will primarily focus on Connectivity via third party integrations and the Peek Pro “App Store”, and secondarily focus on payments-related initiatives. We’re hiring a Senior Backend Engineer who works AI-first. That means you treat AI as a core part of how you build software and break down ambiguous problems, including delegating tasks to agents, reviewing their work critically, and course-correcting when things go sideways. You'll design and operate complex agent orchestration systems, develop patterns for human-agent collaboration, and ship real product features primarily through agent-assisted development in collaboration with human colleagues. We work collaboratively, move fast, and value technical quality. If you are excited about the challenge of building an incredible product while working alongside a great engineering team, we’d love to hear from you! What we’re looking for Strong backend fundamentals in Elixir: API design, data modeling, SQL, service reliability, and debugging production issues. Emphasis on creating scalable and reliable backend systems that integrate seamlessly with multiple services and products with an attention to high-quality code. A drive for exploring and leading new approaches to complex problems via collaboration with multiple stakeholders across Product, Design, and Engineering, particularly amongst one’s peers. Adaptability to the changing tech industry: demonstrated daily use of AI coding tools (Claude Code, Codex, Cursor or equivalent) in a production engineering workflow. Ability to evaluate AI-generated code critically: you catch logic errors, identify security issues, assess maintainability, and own what gets merged regardless of how it was written. Strong system design instincts: you think about tradeoffs, edge cases, and what happens when things scale or fail. Clear and empathetic communicator: you flag when a spec has holes, you can articulate why you made a technical choice, you enjoy collaboration and seek to understand different perspectives, and you are constructive in any disagreements. Self-motivation and ownership: you will push your work forward without prompting and look for ways to unblock yourself and the team on business priorities; you enjoy ownership over your work and seeing code through from conception to production. Skills you already have A passion for Elixir and functional programming 5+ years of professional development using Elixir Solid coding practices including peer code reviews, unit testing, continuous integration, TDD, etc. Experience with relational and/or non-relational databases Experience with microservices Strong understanding of AI tools and ability to identify pitfalls and course correct AI-generated code based on deep knowledge of the fundamentals of building production software Nice to haves Experience working with Ruby Experience working with GraphQL APIs Experience with message queues such as RabbitMQ Experience working on B2B software, on booking flows, or in the travel industry Experience working with payments systems like Stripe Enthusiasm for building and iterating on third party integrations Major bonus points for familiarity with OCTO, the open standard API for tours, activities and attractions Peek Travel Inc. is an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, disability, or other legally protected status. If you are unable to apply due to incompatible assistive technology or a disability, please contact us at talent@peek.com. We will make every effort to respond to your request for disability assistance as soon as possible.5f:T1bcb,

Peek is the operating system powering the experiences industry - from museums and attractions to tours and activities. With over $7B in bookings, Peek’s AI-powered platform has helped thousands of merchants to increase revenues, save time, and deliver seamless guest experiences. Customers include MoMA, Whitney Museum, Seattle Aquarium, Bryant Park & Looping Group. The company has raised over $150 million from institutional investors Westcap, Goldman Sachs, and SpringCoast Partners. Learn more at www.peek.com.

As a remote-first company recognized by Forbes as one of America's Best Startup Employers and by Built In as a 2025 and 2026 Best Place to Work, we are a global team of "Peeksters" who "Obsess Over Our Customers," "Accomplish Big Things," "Collaborate With Purpose," and "Get Better Every Day.

Do you love crafting beautiful and functional customer experiences? Want to work on interesting technical problems around integrations and payments? Do you have a passion for Elixir and functional programming with a focus on building large, complex systems at scale? Peek is looking for a Senior Backend Engineer. The ideal candidate has 5+ years of development experience with Elixir, experience working with GraphQL APIs, MySQL, and familiarity with messaging queues such as RabbitMQ. In this role you will have the opportunity to take ownership of critical product areas and use AI tools as a force multiplier on top of your strong fundamentals.

Our engineering group works on several different products and systems: our Peek Pro operations management suite, embeddable scheduling & booking flows, and custom development services for our enterprise customers. This role will primarily focus on Connectivity via third party integrations and the Peek Pro “App Store”, and secondarily focus on payments-related initiatives.

We’re hiring a Senior Backend Engineer who works AI-first. That means you treat AI as a core part of how you build software and break down ambiguous problems, including delegating tasks to agents, reviewing their work critically, and course-correcting when things go sideways. You'll design and operate complex agent orchestration systems, develop patterns for human-agent collaboration, and ship real product features primarily through agent-assisted development in collaboration with human colleagues.

We work collaboratively, move fast, and value technical quality. If you are excited about the challenge of building an incredible product while working alongside a great engineering team, we’d love to hear from you!

What we’re looking for

Strong backend fundamentals in Elixir: API design, data modeling, SQL, service reliability, and debugging production issues.
Emphasis on creating scalable and reliable backend systems that integrate seamlessly with multiple services and products with an attention to high-quality code.
A drive for exploring and leading new approaches to complex problems via collaboration with multiple stakeholders across Product, Design, and Engineering, particularly amongst one’s peers.
Adaptability to the changing tech industry: demonstrated daily use of AI coding tools (Claude Code, Codex, Cursor or equivalent) in a production engineering workflow.
Ability to evaluate AI-generated code critically: you catch logic errors, identify security issues, assess maintainability, and own what gets merged regardless of how it was written.
Strong system design instincts: you think about tradeoffs, edge cases, and what happens when things scale or fail.
Clear and empathetic communicator: you flag when a spec has holes, you can articulate why you made a technical choice, you enjoy collaboration and seek to understand different perspectives, and you are constructive in any disagreements.
Self-motivation and ownership: you will push your work forward without prompting and look for ways to unblock yourself and the team on business priorities; you enjoy ownership over your work and seeing code through from conception to production.

Skills you already have

A passion for Elixir and functional programming
5+ years of professional development using Elixir
Solid coding practices including peer code reviews, unit testing, continuous integration, TDD, etc.
Experience with relational and/or non-relational databases
Experience with microservices
Strong understanding of AI tools and ability to identify pitfalls and course correct AI-generated code based on deep knowledge of the fundamentals of building production software

Nice to haves

Experience working with Ruby
Experience working with GraphQL APIs
Experience with message queues such as RabbitMQ
Experience working on B2B software, on booking flows, or in the travel industry
Experience working with payments systems like Stripe
Enthusiasm for building and iterating on third party integrations
Major bonus points for familiarity with OCTO, the open standard API for tours, activities and attractions

Peek Travel Inc. is an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, disability, or other legally protected status.

If you are unable to apply due to incompatible assistive technology or a disability, please contact us at talent@peek.com. We will make every effort to respond to your request for disability assistance as soon as possible.

60:T14fe,About the Team The Plugin Developer Platform team builds the APIs, SDKs, and tools that let people extend ChatGPT and Codex. We work on plugins, connectors, the Model Context Protocol (MCP), and interactive apps. We want anyone to be able to turn a useful workflow into a plugin, share it, and have other people use it. A plugin can package instructions and skills with connections to the tools and data it needs. Our work covers plugin creation and publishing, the systems that run plugins across our products, and open standards that developers can build on. About the Role We’re looking for an experienced Android engineer to bring plugins, connectors, and interactive apps to life on mobile. You’ll build the Android experiences and platform foundations that help developers extend ChatGPT and help users discover and use those capabilities from their devices. You’ll work across native Android interfaces, developer-facing APIs, and the systems that support extensibility on mobile. You’ll collaborate closely with product, design, and platform engineers, owning features from early exploration through implementation, launch, and iteration. You’ll also engage directly with developers and partners to understand how their workflows translate to Android. Their experience will inform the interfaces and abstractions you build, the problems you prioritize, and the tradeoffs you make. This role is based in San Francisco. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Build Android experiences for plugins, connectors, and interactive apps within ChatGPT. Develop reusable Android components and interfaces that support a growing ecosystem of developer-built experiences. Partner with platform engineers to connect native mobile experiences with APIs, SDKs, and backend systems. Work with developers and partners to identify integration challenges and improve the experience of building for mobile. Improve app performance, reliability, architecture, testing, and developer tooling. Own projects from initial requirements through release, measurement, and iteration. You might thrive in this role if you: Have deep experience building Android applications using Kotlin and modern Android development frameworks. Have shipped consumer-facing mobile products at scale and care deeply about performance, quality, and user experience. Bring a platform mindset and enjoy designing reusable interfaces and abstractions that other developers build on. Enjoy collaborating across engineering, product, and design, and working directly with developers and partners. Are excited about bringing AI-powered tools and extensible experiences to mobile. Thrive in fast-moving environments where you help define both product and technical direction. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.61:T1ca1,

About the Team

The Plugin Developer Platform team builds the APIs, SDKs, and tools that let people extend ChatGPT and Codex. We work on plugins, connectors, the Model Context Protocol (MCP), and interactive apps.

We want anyone to be able to turn a useful workflow into a plugin, share it, and have other people use it. A plugin can package instructions and skills with connections to the tools and data it needs. Our work covers plugin creation and publishing, the systems that run plugins across our products, and open standards that developers can build on.

About the Role

We’re looking for an experienced Android engineer to bring plugins, connectors, and interactive apps to life on mobile. You’ll build the Android experiences and platform foundations that help developers extend ChatGPT and help users discover and use those capabilities from their devices.

You’ll work across native Android interfaces, developer-facing APIs, and the systems that support extensibility on mobile. You’ll collaborate closely with product, design, and platform engineers, owning features from early exploration through implementation, launch, and iteration.

You’ll also engage directly with developers and partners to understand how their workflows translate to Android. Their experience will inform the interfaces and abstractions you build, the problems you prioritize, and the tradeoffs you make.

This role is based in San Francisco. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

Build Android experiences for plugins, connectors, and interactive apps within ChatGPT.
Develop reusable Android components and interfaces that support a growing ecosystem of developer-built experiences.
Partner with platform engineers to connect native mobile experiences with APIs, SDKs, and backend systems.
Work with developers and partners to identify integration challenges and improve the experience of building for mobile.
Improve app performance, reliability, architecture, testing, and developer tooling.
Own projects from initial requirements through release, measurement, and iteration.

You might thrive in this role if you:

Have deep experience building Android applications using Kotlin and modern Android development frameworks.
Have shipped consumer-facing mobile products at scale and care deeply about performance, quality, and user experience.
Bring a platform mindset and enjoy designing reusable interfaces and abstractions that other developers build on.
Enjoy collaborating across engineering, product, and design, and working directly with developers and partners.
Are excited about bringing AI-powered tools and extensible experiences to mobile.
Thrive in fast-moving environments where you help define both product and technical direction.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

OpenAI Global Applicant Privacy Policy

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

62:T1612,We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam. Team Overview The TechOps team is the technical foundation that is a major stakeholder in keeping the company running. We own the systems, tools, and infrastructure that every Plaid employee depends on, from identity and endpoint management to help desk support, office infrastructure, and the internal tooling that powers day-to-day productivity. What sets us apart from a traditional IT team is how we approach our higher-level goals. We treat corporate infrastructure like an engineering problem: configuration lives in code when possible, endpoint provisioning is automated, access assignment is self-service, and we're always looking for ways to make our systems more reliable and our support burden smaller. We're a small team with broad ownership and high standards. We work closely with Security, Engineering, and People teams to make sure Plaid's internal environment is secure, scalable, and ready for where the company is going, whether that's a new office, a new compliance requirement, or a new way of working enabled by AI tooling. Role Overview In this role, you'll take part in our on-call rotation for a few hours each week, but this isn't just a break/fix IT position. It's a chance to build, improve, and own systems that a thousand-person company depends on. If you care about doing IT the right way through infrastructure as code, automation-first thinking, and strong security instincts, this team is actively building that culture and needs someone with experience in this area to help us move even faster. Responsibilities Own and improve Okta configuration, including lifecycle policies, access reviews, MFA enforcement, and Workflows automation Manage endpoint configuration via Iru or Kandji, with a preference for policy-as-code and version-controlled configurations Build and maintain automation that reduces repetitive support burden Evaluate, deploy, and support AI tooling that improves team and company productivity Manage SaaS procurement and renewals for the systems the team owns Actively own and support company-wide SaaS platforms such as Google Workspace, Linear, Slack, and Okta Partner with Engineering, Security, and GTM teams on planned work that crosses into the team's systems or areas of expertise Work from the office 3 days per week Qualifications 3+ years of experience supporting a large fleet of macOS devices Experience with mobile device management for Apple devices such as Iru, Intune, or Workspace One Experience with configuration as code, such as Terraform Experience with Bash or Python scripting Experience leveraging Claude Code, Codex, or similar tools to improve the quality and efficiency of the solutions you build Experience using and managing major central business and development systems Experience with Google Workspace Experience with Slack Experience with Linear, Jira, or other ticketing platforms Nice to have : Experience working in a high-growth environment with broad ownership across internal systems Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn't fully match the job description. We are always looking for team members that will bring something unique to Plaid! Plaid is proud to be an equal opportunity employer and values diversity at our company. We do not discriminate based on race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local laws. Plaid is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance with your application or interviews due to a disability, please let us know at accommodations@plaid.com. Please review our Candidate Privacy Notice here . Additional compensation in the form(s) of equity and/or commission are dependent on the position offered. Plaid provides a comprehensive benefit plan, including medical, dental, vision, and 401(k). Pay is based on factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience and skillset, and location. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.63:T1b97,

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam.

Team Overview

The TechOps team is the technical foundation that is a major stakeholder in keeping the company running. We own the systems, tools, and infrastructure that every Plaid employee depends on, from identity and endpoint management to help desk support, office infrastructure, and the internal tooling that powers day-to-day productivity.

What sets us apart from a traditional IT team is how we approach our higher-level goals. We treat corporate infrastructure like an engineering problem: configuration lives in code when possible, endpoint provisioning is automated, access assignment is self-service, and we're always looking for ways to make our systems more reliable and our support burden smaller.

We're a small team with broad ownership and high standards. We work closely with Security, Engineering, and People teams to make sure Plaid's internal environment is secure, scalable, and ready for where the company is going, whether that's a new office, a new compliance requirement, or a new way of working enabled by AI tooling.

Role Overview

In this role, you'll take part in our on-call rotation for a few hours each week, but this isn't just a break/fix IT position. It's a chance to build, improve, and own systems that a thousand-person company depends on.

If you care about doing IT the right way through infrastructure as code, automation-first thinking, and strong security instincts, this team is actively building that culture and needs someone with experience in this area to help us move even faster.

Responsibilities

Own and improve Okta configuration, including lifecycle policies, access reviews, MFA enforcement, and Workflows automation
Manage endpoint configuration via Iru or Kandji, with a preference for policy-as-code and version-controlled configurations
Build and maintain automation that reduces repetitive support burden
Evaluate, deploy, and support AI tooling that improves team and company productivity
Manage SaaS procurement and renewals for the systems the team owns
Actively own and support company-wide SaaS platforms such as Google Workspace, Linear, Slack, and Okta
Partner with Engineering, Security, and GTM teams on planned work that crosses into the team's systems or areas of expertise
Work from the office 3 days per week

Qualifications

3+ years of experience supporting a large fleet of macOS devices
Experience with mobile device management for Apple devices such as Iru, Intune, or Workspace One
Experience with configuration as code, such as Terraform
Experience with Bash or Python scripting
Experience leveraging Claude Code, Codex, or similar tools to improve the quality and efficiency of the solutions you build
Experience using and managing major central business and development systems
Experience with Google Workspace
Experience with Slack
Experience with Linear, Jira, or other ticketing platforms

Nice to have:

Experience working in a high-growth environment with broad ownership across internal systems

Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn't fully match the job description. We are always looking for team members that will bring something unique to Plaid!

Plaid is proud to be an equal opportunity employer and values diversity at our company. We do not discriminate based on race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local laws. Plaid is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance with your application or interviews due to a disability, please let us know at accommodations@plaid.com.

Please review our Candidate Privacy Notice here.

Additional compensation in the form(s) of equity and/or commission are dependent on the position offered. Plaid provides a comprehensive benefit plan, including medical, dental, vision, and 401(k). Pay is based on factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience and skillset, and location. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.

64:Tf7e,The Role As a Forward Deployed Engineer, you’ll deploy Medeloop’s systems and products into the customer’s cloud where their data sits, connect them to the tools their teams already use, and build bespoke clinical and research workflows on top, with our platform as the spine. You’ll work side by side with researchers, analysts, data engineers, and security teams, and you’ll own each deployment from the first scoping call to production. You’re the person who turns a first deployment into a lasting customer. Key Responsibilities: Deploy Medeloop’s systems and products in each customer’s cloud with infrastructure as code and our deployment pipeline. Build the connectors and tools the agent calls, from lakehouse tables and internal APIs to EHR data over FHIR. Turn a team’s procedures, definitions, and business logic into agent workflows and playbooks on Medeloop’s products, so the agent works the way that team works. Define evaluations and launch criteria with the customer, test against answers their experts trust, and ship only when the workflow meets them. Scope each workflow with the customer, estimate the effort, build, test, take it live, and measure it against the success criteria you agreed on. Bring a security-first mindset to everything you build. You’ll work with sensitive patient data in a highly regulated environment under HIPAA, and you’ll walk customer security teams through private connectivity, access controls, and PHI handling, explaining precisely what stays in their environment and what returns. Turn custom builds into reusable connectors, playbooks, and platform features, and bring what you learn in the field back to product and engineering. Hold the line on one-off requests that won’t make the product better. Monitor the workflows you ship, fix what breaks when customer systems change, and improve them as usage grows. Join discovery and scoping conversations with our leadership, and help size the work before it’s priced. Who You Are: Experience building scalable agentic systems that carry out long-horizon, multi-step tasks, and designing the evaluation frameworks that show they work reliably. Experience building with LLM APIs, including tool calling, MCP or similar protocols, prompt and workflow design, and evaluations. Deep, day-to-day fluency with coding agents such as Claude Code, Codex, and Cursor, and a track record of using them to ship high-quality code fast. Hands-on experience with major cloud providers and their infrastructure. Experience with data lakehouses and warehouses. An extremely clear communicator, in writing and in person, with technical and non-technical audiences alike. Confidence in a room with a researcher, a data engineer, and a CISO, and the ability to turn ambiguous requests into scoped, shippable work. Comfort with autonomy and ambiguity, the judgment to move fast without cutting corners on security, and a willingness to travel to customer sites. Fearlessness about learning, with the eagerness to dive into bespoke workflows and niche concepts you’ve never seen before and to take on ambitious projects outside your past experience. Nice to have: Experience with EHR, claims, OMOP, or FHIR data, and work under HIPAA or in another highly regulated deployment environment; forward-deployed, solutions, or implementation engineering, ideally at a startup; and containers and sandboxing. A clinical or healthcare background is not required. Why Medeloop Ownership from day one: small team, high-trust, no layers between your work and its impact Technically ambitious: you'll build AI-powered workflows, not just support them Real-world stakes: your work accelerates drug development, addresses health equity, and improves clinical research for institutions that matter Strong foundation: Series A, top-tier investors, and a data asset (200M+ patient records) that most companies spend years trying to build 65:T1119,

The Role

As a Forward Deployed Engineer, you’ll deploy Medeloop’s systems and products into the customer’s cloud where their data sits, connect them to the tools their teams already use, and build bespoke clinical and research workflows on top, with our platform as the spine. You’ll work side by side with researchers, analysts, data engineers, and security teams, and you’ll own each deployment from the first scoping call to production. You’re the person who turns a first deployment into a lasting customer.

Key Responsibilities:

Deploy Medeloop’s systems and products in each customer’s cloud with infrastructure as code and our deployment pipeline.
Build the connectors and tools the agent calls, from lakehouse tables and internal APIs to EHR data over FHIR.
Turn a team’s procedures, definitions, and business logic into agent workflows and playbooks on Medeloop’s products, so the agent works the way that team works.
Define evaluations and launch criteria with the customer, test against answers their experts trust, and ship only when the workflow meets them.
Scope each workflow with the customer, estimate the effort, build, test, take it live, and measure it against the success criteria you agreed on.
Bring a security-first mindset to everything you build. You’ll work with sensitive patient data in a highly regulated environment under HIPAA, and you’ll walk customer security teams through private connectivity, access controls, and PHI handling, explaining precisely what stays in their environment and what returns.
Turn custom builds into reusable connectors, playbooks, and platform features, and bring what you learn in the field back to product and engineering. Hold the line on one-off requests that won’t make the product better.
Monitor the workflows you ship, fix what breaks when customer systems change, and improve them as usage grows.
Join discovery and scoping conversations with our leadership, and help size the work before it’s priced.

Who You Are:

Experience building scalable agentic systems that carry out long-horizon, multi-step tasks, and designing the evaluation frameworks that show they work reliably.
Experience building with LLM APIs, including tool calling, MCP or similar protocols, prompt and workflow design, and evaluations.
Deep, day-to-day fluency with coding agents such as Claude Code, Codex, and Cursor, and a track record of using them to ship high-quality code fast.
Hands-on experience with major cloud providers and their infrastructure.
Experience with data lakehouses and warehouses.
An extremely clear communicator, in writing and in person, with technical and non-technical audiences alike.
Confidence in a room with a researcher, a data engineer, and a CISO, and the ability to turn ambiguous requests into scoped, shippable work.
Comfort with autonomy and ambiguity, the judgment to move fast without cutting corners on security, and a willingness to travel to customer sites.
Fearlessness about learning, with the eagerness to dive into bespoke workflows and niche concepts you’ve never seen before and to take on ambitious projects outside your past experience.
Nice to have: Experience with EHR, claims, OMOP, or FHIR data, and work under HIPAA or in another highly regulated deployment environment; forward-deployed, solutions, or implementation engineering, ideally at a startup; and containers and sandboxing. A clinical or healthcare background is not required.

Why Medeloop

Ownership from day one: small team, high-trust, no layers between your work and its impact
Technically ambitious: you'll build AI-powered workflows, not just support them
Real-world stakes: your work accelerates drug development, addresses health equity, and improves clinical research for institutions that matter
Strong foundation: Series A, top-tier investors, and a data asset (200M+ patient records) that most companies spend years trying to build

66:T2c14,Paystand is the world's leading blockchain-enabled B2B payments network, transforming commercial finance into a software-driven, zero-fee, and open ecosystem. Recognized as a CNBC/Statista 2026 World's Top Fintech company, Paystand delivers over a decade of on-chain payments experience to middle and large enterprises. Paystand's network services more than one million payors that have moved $20+ billion in volume. With its acquisitions of Yaydoo, Teampay and Bitwage, Paystand's full-stack platform includes agentic AI, its USDb stablecoin, and AR/AP solutions on one tightly integrated network. Its non-profit arm, Paystand.org, advances the mission to democratize finance through Bitcoin and blockchain technology. What We Do We built the financial system we always thought should exist: zero fees, zero friction, just your money, faster. Blockchain automates receivables and payables, cuts time-to-cash, and turns every transaction into revenue instead of cost. Why We Do It The current system takes a cut from the people who build, create, and grow — and calls it the cost of doing business. We don't buy that. Every fee we eliminate compounds into growth. We're here to decentralize finance and hand the power back to the businesses driving the real economy — extended further through Paystand.org's work to democratize finance through Bitcoin and blockchain. How We Do It We don't wait for permission or for the industry to catch up — we build the future of finance ourselves, on-chain, in the open. Small moves now, monumental results later. Join Us We're not looking for people who want a job in fintech. We're looking for people who want to build what comes after it. Paystand is where you help lead a financial revolution instead of just reading about one. We stand on change. Come stand with us. Role at a Glance We're seeking a talented Full-Stack Engineer to play a key role in architecting and implementing user-facing components of the Paystand open banking network. As a member of our dynamic team, you'll collaborate closely with product owners, designers, and fellow engineers to craft web applications that redefine user interactions. AI-First Engineering Expectations Paystand is an AI-first organization. As a FullStack Engineer, you are expected to: We believe in augmenting human engineering with intelligence. As an AI-first organization, our expectations for this role reflect that commitment: Leverage AI-powered coding assistants to accelerate development velocity and maintain high code quality. Architect systems with AI integration in mind, ensuring our web applications can seamlessly interface with machine learning models and data pipelines. Proactively identify and automate manual engineering workflows—such as testing, documentation, and infrastructure management—using AI tools. Drive technical innovation by actively integrating the latest AI development frameworks and practices into our stack. Role and Key Responsibilities Lead the architecture and implementation of user-facing parts of Paystand’s systems. Design and develop reusable libraries and frameworks that support complex web applications. Provide technical leadership and mentorship to other engineers. Collaborate with product owners, designers, and other engineers to build the best user experience, ensuring high standards of quality and performance. Ensure best practices in code quality, security, and performance. Participate in and influence all phases of the development lifecycle, including system analysis, design, coding, testing, debugging, and documentation. Advocate for and implement continuous improvement in the development processes and practices. Requirements & Qualifications Builder Experience 7+ years of professional software engineering experience, with a track record of independently delivering meaningful products or major capabilities from concept through production. Strong full-stack capability and the judgment to work across frontend, backend, data, infrastructure, and integrations as the product requires. Able to move from an ambiguous business problem to a practical solution: clarify the problem, evaluate tradeoffs, establish an architecture, build the product, deploy it, and improve it using production feedback. Comfortable making progress without a fully prescribed specification while knowing when alignment, deeper analysis, or broader architectural review is needed. AI-Native Development: Fluency with AI-assisted and agent-led software development using tools such as Claude, Claude Code, OpenAI Codex, or comparable platforms. Experience using AI throughout the engineering lifecycle—not only for code generation, but also for discovery, architecture, implementation planning, testing, debugging, documentation, code review, and operational analysis. Ability to provide agents with effective context, decompose work into verifiable tasks, evaluate generated solutions critically, and maintain responsibility for correctness, security, and maintainability. Practical understanding of building AI-enabled product capabilities using model APIs, structured outputs, tool calling, retrieval, evaluations, guardrails, and human-in-the-loop workflows. Strong engineering judgment about where AI increases leverage and where deterministic software, conventional automation, or direct human review is more appropriate. Architecture and Engineering: Strong understanding of modern application architecture, including modular system design, API design, asynchronous and event-driven processing, data consistency, caching, and integration patterns. Demonstrated ability to design systems that can evolve and scale without introducing unnecessary complexity. Experience making and documenting architectural decisions based on reliability, security, performance, cost, maintainability, and speed of delivery. Practical experience with relational databases, data modeling, distributed systems, observability, automated testing, and production troubleshooting. Familiarity with secure engineering practices appropriate for financial or other high-trust systems, including authorization, data protection, auditability, failure recovery, and idempotent processing. Full-Stack Product Development: Strong experience with at least one modern frontend ecosystem, such as React, Next.js, Vue, or Angular, including component architecture, state management, accessibility, performance, and responsive design. Strong experience with at least one production backend ecosystem, such as Node.js/TypeScript, Python, Java, Go, Elixir, or a comparable framework. Ability to design clear APIs and data contracts and integrate with internal services, third-party platforms, and legacy systems. Product-minded approach to frontend development, with attention to workflows, usability, edge cases, and the complete customer experience—not simply implementation from a design file. Willingness and ability to learn unfamiliar frameworks or technologies when they are the right choice for the product. Cloud, Scaling, and Delivery: Hands-on experience designing, deploying, and operating production systems on AWS or Google Cloud. Working knowledge of Cloudflare capabilities such as DNS, CDN, edge security, traffic management, Workers, or related edge infrastructure. Experience with containers, infrastructure as code, CI/CD, environment management, secrets management, and automated deployment practices. Understanding of horizontal scaling, load management, queues, caching, database scaling, fault tolerance, disaster recovery, and multi-region considerations. Ability to build useful observability into a product through logs, metrics, traces, alerts, and business-level workflow monitoring. Comfortable owning software after release, including production health, incident response, root-cause analysis, and continuous improvement. Product Ownership and Leadership: Product mindset with the ability to co-own a product area alongside a product manager, from customer problem and business outcome through technical delivery and adoption. Able to challenge assumptions, identify simpler solutions, define incremental releases, and balance immediate customer value with long-term technical health. Strong written and verbal communication, including the ability to explain technical decisions and tradeoffs to engineering, product, design, operations, and business stakeholders. Demonstrated technical leadership through architecture, execution, code review, mentorship, and raising engineering standards. High degree of ownership, curiosity, pragmatism, and follow-through. Bonus Skills Experience building payment, fintech, accounting, ERP, banking, or other transaction-intensive products. Experience with high-integrity workflows involving money movement, reconciliation, ledgers, approvals, or external financial integrations. Experience building or operating AI agents and agentic workflows in production, including evaluation, monitoring, security, and cost management. Familiarity with workflow orchestration, event streaming, or durable execution technologies. Experience with blockchain, digital assets, smart contracts, or decentralized systems is valuable but not required. Contributions to open-source software, technical communities, or other evidence of active building and continued learning. Perks & Benefits 💵 Competitive base salary. 🌎 Opportunity for advancement and growth in a rapidly expanding team. 👨🏻‍🏫 Mentorship, learning, and education programs. 💪🏻 Smart, high-achieving, motivated team that likes to have fun. 🎯 Mission-driven culture, where your work matters. 🏥 Major Medical Health Insurance. 💻 Company provided equipment and tools. If you're passionate about driving change in the FinTech landscape and being part of a company that is shaping the future of digital payments, we invite you to explore opportunities with Paystand. We understand that no candidate is perfectly qualified for any job. Experience manifests in diverse ways, skills are transferable, and passion is a powerful driver. Your journey and skills are unique, and we value the richness that diverse perspectives bring to our team. More than a resume, we prioritize a genuine commitment, impactful contributions, and the ability to thrive in our dynamic, collaborative environment. We are enthusiastic about providing you with opportunities to learn and grow within this role. If your experience aligns closely with what we're seeking, we encourage you to apply. We celebrate the belief that diversity in backgrounds and thoughts fuels better problem-solving and fosters more creative thinking. Our commitment to adding new perspectives to the team reflects our dedication to innovation and inclusivity. Your journey is important to us, and we look forward to the possibility of welcoming you to our team at Paystand. Feel free to reach out; we can't wait to hear from you. Most of our roles are onsite. Positions that are eligible for remote or hybrid work arrangements will be clearly indicated in the job posting. For roles based in Mexico, only resumes submitted in English will be considered.#LI-Onsite67:T310d,

Paystand is the world's leading blockchain-enabled B2B payments network, transforming commercial finance into a software-driven, zero-fee, and open ecosystem. Recognized as a CNBC/Statista 2026 World's Top Fintech company, Paystand delivers over a decade of on-chain payments experience to middle and large enterprises.

Paystand's network services more than one million payors that have moved $20+ billion in volume. With its acquisitions of Yaydoo, Teampay and Bitwage, Paystand's full-stack platform includes agentic AI, its USDb stablecoin, and AR/AP solutions on one tightly integrated network. Its non-profit arm, Paystand.org, advances the mission to democratize finance through Bitcoin and blockchain technology.

What We Do

We built the financial system we always thought should exist: zero fees, zero friction, just your money, faster. Blockchain automates receivables and payables, cuts time-to-cash, and turns every transaction into revenue instead of cost.

Why We Do It

The current system takes a cut from the people who build, create, and grow — and calls it the cost of doing business. We don't buy that. Every fee we eliminate compounds into growth. We're here to decentralize finance and hand the power back to the businesses driving the real economy — extended further through Paystand.org's work to democratize finance through Bitcoin and blockchain.

How We Do It

We don't wait for permission or for the industry to catch up — we build the future of finance ourselves, on-chain, in the open. Small moves now, monumental results later.

Join Us

We're not looking for people who want a job in fintech. We're looking for people who want to build what comes after it. Paystand is where you help lead a financial revolution instead of just reading about one. We stand on change. Come stand with us.

Role at a Glance

We're seeking a talented Full-Stack Engineer to play a key role in architecting and implementing user-facing components of the Paystand open banking network. As a member of our dynamic team, you'll collaborate closely with product owners, designers, and fellow engineers to craft web applications that redefine user interactions.

AI-First Engineering Expectations

Paystand is an AI-first organization. As a FullStack Engineer, you are expected to:

We believe in augmenting human engineering with intelligence. As an AI-first organization, our expectations for this role reflect that commitment:

Leverage AI-powered coding assistants to accelerate development velocity and maintain high code quality.
Architect systems with AI integration in mind, ensuring our web applications can seamlessly interface with machine learning models and data pipelines.
Proactively identify and automate manual engineering workflows—such as testing, documentation, and infrastructure management—using AI tools.
Drive technical innovation by actively integrating the latest AI development frameworks and practices into our stack.

Role and Key Responsibilities

Lead the architecture and implementation of user-facing parts of Paystand’s systems.
Design and develop reusable libraries and frameworks that support complex web applications.
Provide technical leadership and mentorship to other engineers.
Collaborate with product owners, designers, and other engineers to build the best user experience, ensuring high standards of quality and performance.
Ensure best practices in code quality, security, and performance.
Participate in and influence all phases of the development lifecycle, including system analysis, design, coding, testing, debugging, and documentation.
Advocate for and implement continuous improvement in the development processes and practices.

Requirements & Qualifications

Builder Experience

7+ years of professional software engineering experience, with a track record of independently delivering meaningful products or major capabilities from concept through production.
Strong full-stack capability and the judgment to work across frontend, backend, data, infrastructure, and integrations as the product requires.
Able to move from an ambiguous business problem to a practical solution: clarify the problem, evaluate tradeoffs, establish an architecture, build the product, deploy it, and improve it using production feedback.
Comfortable making progress without a fully prescribed specification while knowing when alignment, deeper analysis, or broader architectural review is needed.

AI-Native Development:

Fluency with AI-assisted and agent-led software development using tools such as Claude, Claude Code, OpenAI Codex, or comparable platforms.
Experience using AI throughout the engineering lifecycle—not only for code generation, but also for discovery, architecture, implementation planning, testing, debugging, documentation, code review, and operational analysis.
Ability to provide agents with effective context, decompose work into verifiable tasks, evaluate generated solutions critically, and maintain responsibility for correctness, security, and maintainability.
Practical understanding of building AI-enabled product capabilities using model APIs, structured outputs, tool calling, retrieval, evaluations, guardrails, and human-in-the-loop workflows.
Strong engineering judgment about where AI increases leverage and where deterministic software, conventional automation, or direct human review is more appropriate.

Architecture and Engineering:

Strong understanding of modern application architecture, including modular system design, API design, asynchronous and event-driven processing, data consistency, caching, and integration patterns.
Demonstrated ability to design systems that can evolve and scale without introducing unnecessary complexity.
Experience making and documenting architectural decisions based on reliability, security, performance, cost, maintainability, and speed of delivery.
Practical experience with relational databases, data modeling, distributed systems, observability, automated testing, and production troubleshooting.
Familiarity with secure engineering practices appropriate for financial or other high-trust systems, including authorization, data protection, auditability, failure recovery, and idempotent processing.

Full-Stack Product Development:

Strong experience with at least one modern frontend ecosystem, such as React, Next.js, Vue, or Angular, including component architecture, state management, accessibility, performance, and responsive design.
Strong experience with at least one production backend ecosystem, such as Node.js/TypeScript, Python, Java, Go, Elixir, or a comparable framework.
Ability to design clear APIs and data contracts and integrate with internal services, third-party platforms, and legacy systems.
Product-minded approach to frontend development, with attention to workflows, usability, edge cases, and the complete customer experience—not simply implementation from a design file.
Willingness and ability to learn unfamiliar frameworks or technologies when they are the right choice for the product.

Cloud, Scaling, and Delivery:

Hands-on experience designing, deploying, and operating production systems on AWS or Google Cloud.
Working knowledge of Cloudflare capabilities such as DNS, CDN, edge security, traffic management, Workers, or related edge infrastructure.
Experience with containers, infrastructure as code, CI/CD, environment management, secrets management, and automated deployment practices.
Understanding of horizontal scaling, load management, queues, caching, database scaling, fault tolerance, disaster recovery, and multi-region considerations.
Ability to build useful observability into a product through logs, metrics, traces, alerts, and business-level workflow monitoring.
Comfortable owning software after release, including production health, incident response, root-cause analysis, and continuous improvement.

Product Ownership and Leadership:

Product mindset with the ability to co-own a product area alongside a product manager, from customer problem and business outcome through technical delivery and adoption.
Able to challenge assumptions, identify simpler solutions, define incremental releases, and balance immediate customer value with long-term technical health.
Strong written and verbal communication, including the ability to explain technical decisions and tradeoffs to engineering, product, design, operations, and business stakeholders.
Demonstrated technical leadership through architecture, execution, code review, mentorship, and raising engineering standards.
High degree of ownership, curiosity, pragmatism, and follow-through.

Bonus Skills

Experience building payment, fintech, accounting, ERP, banking, or other transaction-intensive products.
Experience with high-integrity workflows involving money movement, reconciliation, ledgers, approvals, or external financial integrations.
Experience building or operating AI agents and agentic workflows in production, including evaluation, monitoring, security, and cost management.
Familiarity with workflow orchestration, event streaming, or durable execution technologies.
Experience with blockchain, digital assets, smart contracts, or decentralized systems is valuable but not required.
Contributions to open-source software, technical communities, or other evidence of active building and continued learning.

Perks & Benefits

💵 Competitive base salary.
🌎 Opportunity for advancement and growth in a rapidly expanding team.
👨🏻‍🏫 Mentorship, learning, and education programs.
💪🏻 Smart, high-achieving, motivated team that likes to have fun.
🎯 Mission-driven culture, where your work matters.
🏥 Major Medical Health Insurance.
💻 Company provided equipment and tools.

If you're passionate about driving change in the FinTech landscape and being part of a company that is shaping the future of digital payments, we invite you to explore opportunities with Paystand.

We understand that no candidate is perfectly qualified for any job. Experience manifests in diverse ways, skills are transferable, and passion is a powerful driver. Your journey and skills are unique, and we value the richness that diverse perspectives bring to our team.

More than a resume, we prioritize a genuine commitment, impactful contributions, and the ability to thrive in our dynamic, collaborative environment. We are enthusiastic about providing you with opportunities to learn and grow within this role. If your experience aligns closely with what we're seeking, we encourage you to apply.

We celebrate the belief that diversity in backgrounds and thoughts fuels better problem-solving and fosters more creative thinking. Our commitment to adding new perspectives to the team reflects our dedication to innovation and inclusivity.

Your journey is important to us, and we look forward to the possibility of welcoming you to our team at Paystand. Feel free to reach out; we can't wait to hear from you.

Most of our roles are onsite. Positions that are eligible for remote or hybrid work arrangements will be clearly indicated in the job posting.

For roles based in Mexico, only resumes submitted in English will be considered.#LI-Onsite

68:T16d0,Postscript is the AI messaging platform trusted by 20,000+ Shopify brands — including Brooklinen, Ruggable, True Classic, and Dr. Squatch. With a mission to make SMS your number one revenue driving channel, we built the best-in-class SMS marketing platform and launched revenue-driving AI features not available on any other platform. And we're just getting started. Backed by Greylock and Y Combinator, fully remote since 2018. We are looking for a polyglot Senior Fullstack Engineer to join the Customer Context team. You’ll help build and scale the foundational services, APIs, and pipelines that power the Postscript product. This role blends strong backend engineering skills with a deep appreciation for data intensive systems, performance, and reliability. You’ll collaborate closely with other software engineers, data engineers, and product to help e-commerce marketers maximize their revenue with best-in-class targeting and context-driven AI. This is a high-autonomy role for engineers who are energized by ambiguity, take genuine ownership of their work, and bring a strong point of view on how to build things well, without sacrificing speed or pragmatism. AI isn't a nice-to-have here — it's central to how we work. We expect our engineers to be active practitioners of AI-first development: fluent with the latest agentic coding tools, curious about what's emerging, and constantly pushing the boundary of what's possible with AI in their day-to-day craft. If you're the kind of engineer who's already experimenting with new models and tooling before anyone asks you to, you'll feel at home here. As a senior engineer at Postscript, you’ll no longer be only writing code but orchestrating it. This position is fully remote and can be based in the US or Canada. What You'll Do Take deep ownership of systems and product areas on your team, and become the go-to technical expert for what you own Independently investigate, design, and execute solutions across distributed systems with a high degree of ambiguity Architect, build, and maintain highly available, scalable REST APIs and backend services for internal and external use Drive system decoupling, modularization, and technical debt reduction.. Improve long-term maintainability without blocking near-term delivery Build agentically as your default: leveraging concurrent autonomous agent workflows, owning the output, and keeping a steady queue of aligned work moving Stay at the forefront of emerging AI tooling and practices, bringing new techniques back to the team and helping raise the floor for how Postscript engineers work Contribute to how we think about integrating AI into our systems and workflows. That means not just using AI tools, but helping shape where and how AI creates leverage across the engineering org Collaborate cross-functionally with product, data, and go-to-market teams by communicating clearly and proactively in an async-first environment Identify and eliminate single points of failure, improving system resilience and knowledge redundancy across your team Improve how engineering gets done: bring better tools, fix workflow friction, build internal utilities when the leverage compounds What We're Looking For 6+ years of experience building large-scale data-intensive backend systems and APIs You are an active, daily user of AI coding tools and are using them to maximize your output — Claude Code, Codex, Cursor, Copilot, or equivalent — and can speak concretely to how they've changed your output and your workflow Some or all of these languages: Python, Go, Rust, React, and TypeScript You follow the AI tooling landscape closely: new model releases, emerging agentic workflows, and evolving best practices aren't things you catch up on eventually. You think critically about AI output and you know where it accelerates you, where it introduces risk, and how to verify what it produces You are able to context switch quickly across concurrent workstreams Experience working on both 0-to-1 initiatives and complex existing systems, and knowing how to balance building new things with improving what's there You have working knowledge of event-driven distributed systems, Kafka, and familiarity with distributed data processing technologies (Flink/Spark/etc) Experience growing systems under production customer load, ideally from early days to the multi-terabyte stage Experience building and designing high-scale systems AWS with a broad variety of database technologies (RDBMS, OLAP, NoSQL, etc.) You know how to intelligently model relational data and design index strategies. You write performant SQL for transactional and analytical workloads Experience with infrastructure as code (eg, Terraform). You are comfortable evaluating and applying your infra changes. Familiarity building and observing applications on AWS & Kubernetes, ideally with Datadog, Signoz, or comparable observability tooling Clear, direct communication. Cross-functional partners and async teams can count on you to surface information proactively Strong instincts for technical tradeoffs informed by both engineering best practices and business priorities What You'll Love About Us Salary range of USD $175,000–$205,000 base plus significant equity (we do not have geo-based salaries) High growth startup — plenty of room for you to directly impact the company and grow your career Work from home (or wherever in US / Canada) Fun — we're passionate and enjoy what we do Competitive compensation and opportunity for equity Flexible paid time off Health, dental, vision insurance For information about how we use your personal data, please see our U.S. Job Applicant Privacy Notice You are welcome here. Postscript is an ever-evolving place of equal employment for talented individuals.69:T1a0d,

Postscript is the AI messaging platform trusted by 20,000+ Shopify brands — including Brooklinen, Ruggable, True Classic, and Dr. Squatch.

With a mission to make SMS your number one revenue driving channel, we built the best-in-class SMS marketing platform and launched revenue-driving AI features not available on any other platform. And we're just getting started.

Backed by Greylock and Y Combinator, fully remote since 2018.

We are looking for a polyglot Senior Fullstack Engineer to join the Customer Context team. You’ll help build and scale the foundational services, APIs, and pipelines that power the Postscript product. This role blends strong backend engineering skills with a deep appreciation for data intensive systems, performance, and reliability. You’ll collaborate closely with other software engineers, data engineers, and product to help e-commerce marketers maximize their revenue with best-in-class targeting and context-driven AI.

This is a high-autonomy role for engineers who are energized by ambiguity, take genuine ownership of their work, and bring a strong point of view on how to build things well, without sacrificing speed or pragmatism. AI isn't a nice-to-have here — it's central to how we work. We expect our engineers to be active practitioners of AI-first development: fluent with the latest agentic coding tools, curious about what's emerging, and constantly pushing the boundary of what's possible with AI in their day-to-day craft. If you're the kind of engineer who's already experimenting with new models and tooling before anyone asks you to, you'll feel at home here.

As a senior engineer at Postscript, you’ll no longer be only writing code but orchestrating it.

This position is fully remote and can be based in the US or Canada.

What You'll Do

Take deep ownership of systems and product areas on your team, and become the go-to technical expert for what you own
Independently investigate, design, and execute solutions across distributed systems with a high degree of ambiguity
Architect, build, and maintain highly available, scalable REST APIs and backend services for internal and external use
Drive system decoupling, modularization, and technical debt reduction.. Improve long-term maintainability without blocking near-term delivery
Build agentically as your default: leveraging concurrent autonomous agent workflows, owning the output, and keeping a steady queue of aligned work moving
Stay at the forefront of emerging AI tooling and practices, bringing new techniques back to the team and helping raise the floor for how Postscript engineers work
Contribute to how we think about integrating AI into our systems and workflows. That means not just using AI tools, but helping shape where and how AI creates leverage across the engineering org
Collaborate cross-functionally with product, data, and go-to-market teams by communicating clearly and proactively in an async-first environment
Identify and eliminate single points of failure, improving system resilience and knowledge redundancy across your team
Improve how engineering gets done: bring better tools, fix workflow friction, build internal utilities when the leverage compounds

What We're Looking For

6+ years of experience building large-scale data-intensive backend systems and APIs
You are an active, daily user of AI coding tools and are using them to maximize your output — Claude Code, Codex, Cursor, Copilot, or equivalent — and can speak concretely to how they've changed your output and your workflow
Some or all of these languages: Python, Go, Rust, React, and TypeScript
You follow the AI tooling landscape closely: new model releases, emerging agentic workflows, and evolving best practices aren't things you catch up on eventually.
You think critically about AI output and you know where it accelerates you, where it introduces risk, and how to verify what it produces
You are able to context switch quickly across concurrent workstreams
Experience working on both 0-to-1 initiatives and complex existing systems, and knowing how to balance building new things with improving what's there
You have working knowledge of event-driven distributed systems, Kafka, and familiarity with distributed data processing technologies (Flink/Spark/etc)
Experience growing systems under production customer load, ideally from early days to the multi-terabyte stage
Experience building and designing high-scale systems AWS with a broad variety of database technologies (RDBMS, OLAP, NoSQL, etc.)
You know how to intelligently model relational data and design index strategies. You write performant SQL for transactional and analytical workloads
Experience with infrastructure as code (eg, Terraform). You are comfortable evaluating and applying your infra changes.
Familiarity building and observing applications on AWS & Kubernetes, ideally with Datadog, Signoz, or comparable observability tooling
Clear, direct communication. Cross-functional partners and async teams can count on you to surface information proactively
Strong instincts for technical tradeoffs informed by both engineering best practices and business priorities

What You'll Love About Us

Salary range of USD $175,000–$205,000 base plus significant equity (we do not have geo-based salaries)
High growth startup — plenty of room for you to directly impact the company and grow your career
Work from home (or wherever in US / Canada)
Fun — we're passionate and enjoy what we do
Competitive compensation and opportunity for equity
Flexible paid time off
Health, dental, vision insurance

For information about how we use your personal data, please see our U.S. Job Applicant Privacy Notice

You are welcome here. Postscript is an ever-evolving place of equal employment for talented individuals.

6a:T1527,At CI&T, we help large enterprises transform the potential of AI into real business impact with AI Deployment, AI-native execution, and tech-integrated business solutions. With 30 years of experience in technological transformation, we accelerate innovation with expertise in Agentic SDLC, Application modernization, Data & AI, Martech and Business strategy. We are 8,000 CI&Ters across more than 25 countries, collaborating to build solutions with real impact. AI is already part of how we work, evolve, and innovate every day. We are seeking a talented and experienced AI Solutions Data Developer to join the Digital Supply Chain Analytics team. This professional will play a key role in designing, building, deploying, and maintaining AI-enabled business applications, contributing to the digital transformation of our client’s supply chain in the consumer goods sector. The AI Solutions Engineer will work closely with the Data Scientist and Data Analyst to translate business requirements into scalable applications, databases, workflows, and user-facing tools. The ideal candidate is a hands-on builder who can quickly develop MVPs, harden solutions for production use, and deploy applications in containerized environments. Responsibilities: Application Development: Design and develop internal applications that support supply chain, logistics, manufacturing, planning, procurement, and operations. Create user interfaces for data management, workflow execution, AI-assisted recommendations, reporting and analysis, and operational decision support. Develop APIs and backend services that support business processes. AI Solution Implementation: Implement AI and machine learning capabilities as designed by the Data Scientist. Integrate large language models (LLMs), retrieval-augmented generation (RAG), AI agents, and predictive and optimization models. Build workflows that operationalize AI insights into business processes. Database Development & Data Engineering: Design and maintain PostgreSQL databases, including creating schemas, stored procedures, views, and ETL/ELT pipelines. Optimize SQL performance and database efficiency. Support master data management and operational data structures. Data Integration: Build and maintain integrations with Google BigQuery, SAP, REST APIs, Microsoft 365, SharePoint, Teams, and third-party SaaS platforms. Create automated data pipelines and synchronization processes. Containerization & Deployment: Package applications using Docker containers and deploy them through platforms like Portainer. Support environment configuration, secrets management, SSL setup, and container monitoring. AI-Assisted Development: Utilize modern development tools like VS Code, GitHub, Codex, Claude, Copilot, and Gemini for rapid prototyping and refining solutions. Technical Documentation: Produce and maintain technical specifications, system architecture documentation, data models, API documentation, and deployment guides. Deliverables: The professional will be expected to: Build and deploy operational applications. Create production-ready PostgreSQL data structures. Develop integrations with BigQuery and enterprise systems. Deliver functional user interfaces for business teams. Support the deployment and maintenance of containerized applications. Assist in AI application implementation and operationalization. Produce technical documentation for all delivered solutions. Requirements: Proficiency in Python REST API development and PostgreSQL database skills. Advanced SQL knowledge and query optimization. Experience with Google BigQuery and data integration frameworks. Experience integrating LLMs into applications and prompt engineering. Familiarity with Containerization & Deployment best practices Good English communication skills - High Intermediate level - B2 CEFR Nice to Have: Experience in supply chain, manufacturing, planning, logistics, inventory management, procurement, and quality systems. Knowledge of SAP integrations and AI application deployment in operational environments. #LI-TO1 Our benefits: -Health and dental insurance -Meal and food allowance -Childcare assistance -Extended paternity leave -Partnership with gyms and health and wellness professionals via Wellhub (Gympass) TotalPass; - Profit Sharing and Results Participation (PLR); -Life insurance - Continuous learning platform (CI&T University); -Discount club -Free online platform dedicated to physical, mental, and overall well-being -Pregnancy and responsible parenting course -Partnerships with online learning platforms -Language learning platform And many more! More details about our benefits here: https://ciandt.com/br/pt-br/carreiras At CI&T, inclusion starts at the first contact. If you are a person with a disability, it is important to present your assessment during the selection process. See which data needs to be included in the report by clicking here . This way, we can ensure the support and accommodations that you deserve. If you do not yet have the assessment, don't worry: we can support you in obtaining it. We have a dedicated Health and Well-being team, inclusion specialists, and affinity groups who will be with you at every stage. Count on us to make this journey side by side.6b:T1fa5,

At CI&T, we help large enterprises transform the potential of AI into real business impact with AI Deployment, AI-native execution, and tech-integrated business solutions.

With 30 years of experience in technological transformation, we accelerate innovation with expertise in Agentic SDLC, Application modernization, Data & AI, Martech and Business strategy.

We are 8,000 CI&Ters across more than 25 countries, collaborating to build solutions with real impact. AI is already part of how we work, evolve, and innovate every day.

We are seeking a talented and experienced AI Solutions Data Developer to join the Digital Supply Chain Analytics team. This professional will play a key role in designing, building, deploying, and maintaining AI-enabled business applications, contributing to the digital transformation of our client’s supply chain in the consumer goods sector.

The AI Solutions Engineer will work closely with the Data Scientist and Data Analyst to translate business requirements into scalable applications, databases, workflows, and user-facing tools. The ideal candidate is a hands-on builder who can quickly develop MVPs, harden solutions for production use, and deploy applications in containerized environments.

Responsibilities:

Application Development:

Design and develop internal applications that support supply chain, logistics, manufacturing, planning, procurement, and operations.
Create user interfaces for data management, workflow execution, AI-assisted recommendations, reporting and analysis, and operational decision support.
Develop APIs and backend services that support business processes.

AI Solution Implementation:

Implement AI and machine learning capabilities as designed by the Data Scientist.
Integrate large language models (LLMs), retrieval-augmented generation (RAG), AI agents, and predictive and optimization models.
Build workflows that operationalize AI insights into business processes.

Database Development & Data Engineering:

Design and maintain PostgreSQL databases, including creating schemas, stored procedures, views, and ETL/ELT pipelines.
Optimize SQL performance and database efficiency.
Support master data management and operational data structures.

Data Integration:

Build and maintain integrations with Google BigQuery, SAP, REST APIs, Microsoft 365, SharePoint, Teams, and third-party SaaS platforms.
Create automated data pipelines and synchronization processes.

Containerization & Deployment:

Package applications using Docker containers and deploy them through platforms like Portainer.
Support environment configuration, secrets management, SSL setup, and container monitoring.

AI-Assisted Development:

Utilize modern development tools like VS Code, GitHub, Codex, Claude, Copilot, and Gemini for rapid prototyping and refining solutions.

Technical Documentation:

Produce and maintain technical specifications, system architecture documentation, data models, API documentation, and deployment guides.

Deliverables:

The professional will be expected to:

Build and deploy operational applications.
Create production-ready PostgreSQL data structures.
Develop integrations with BigQuery and enterprise systems.
Deliver functional user interfaces for business teams.
Support the deployment and maintenance of containerized applications.
Assist in AI application implementation and operationalization.
Produce technical documentation for all delivered solutions.

Requirements:

Proficiency in Python
REST API development and PostgreSQL database skills.
Advanced SQL knowledge and query optimization.
Experience with Google BigQuery and data integration frameworks.
Experience integrating LLMs into applications and prompt engineering.
Familiarity with Containerization & Deployment best practices
Good English communication skills - High Intermediate level - B2 CEFR

Nice to Have:

- Experience in supply chain, manufacturing, planning, logistics, inventory management, procurement, and quality systems.
- Knowledge of SAP integrations and AI application deployment in operational environments.

#LI-TO1

Our benefits:

-Health and dental insurance

-Meal and food allowance

-Childcare assistance

-Extended paternity leave

-Partnership with gyms and health and wellness professionals via Wellhub (Gympass) TotalPass;

-Profit Sharing and Results Participation (PLR);

-Life insurance

-Continuous learning platform (CI&T University);

-Discount club

-Free online platform dedicated to physical, mental, and overall well-being

-Pregnancy and responsible parenting course

-Partnerships with online learning platforms

-Language learning platform

And many more!

More details about our benefits here: https://ciandt.com/br/pt-br/carreiras

At CI&T, inclusion starts at the first contact. If you are a person with a disability, it is important to present your assessment during the selection process. See which data needs to be included in the report by clicking here.This way, we can ensure the support and accommodations that you deserve. If you do not yet have the assessment, don't worry: we can support you in obtaining it.

We have a dedicated Health and Well-being team, inclusion specialists, and affinity groups who will be with you at every stage. Count on us to make this journey side by side.

6c:T265e,GuidePoint Security provides trusted cybersecurity expertise, solutions and services that help organizations make better decisions and minimize risk. By taking a three-tiered, holistic approach for evaluating security posture and ecosystems, GuidePoint enables some of the nation’s top organizations, such as Fortune 500 companies and U.S. government agencies, to identify threats, optimize resources and integrate best-fit solutions that mitigate risk. General Description The GuidePoint Security North Central region is seeking a skilled AI Security Engineer to join our growing AI Security Services team within the Automation and AI Practice. You will assist customers in the design, implementation, security, and operational management of generative AI security solutions — including AI governance assessments, LLM and agent security testing, shadow AI discovery, agentic workflow development, and architecture reviews. About the North Central AI Security Practice You will work closely with peers across multiple domains including AppSec, Cloud Security, and Identity and Access Management to deliver holistic and secure solutions adhering to industry best practices. This role offers the opportunity to contribute directly to the continued growth of our AI security practice and its expanding service portfolio. Roles and Responsibilities: AI Security Architecture & Assessment: Conduct secure configuration reviews and security assessments of enterprise AI platforms (e.g., Anthropic Claude Enterprise, OpenAI ChatGPT Enterprise, Microsoft Copilot) against established control domains — including identity and provisioning, network and access enforcement, data protection and retention, and audit and compliance — identifying vulnerabilities, attack surfaces, and gaps against industry frameworks (e.g., OWASP LLM Top 10, MITRE ATLAS) Threat Modeling for AI Systems: Lead threat modeling exercises specific to AI workloads, covering prompt injection, model inversion, data poisoning, supply chain risks, excessive agency, privilege escalation through tool chaining, and unauthorized cross-application data movement across SaaS, self-hosted, and local AI deployments AI Coding Tool & Development Environment Security: Assess AI coding tools and development environments — including Claude Code, OpenAI Codex, Open Code, Cursor, and MCP servers — for sandbox isolation, plugin allowlisting, secrets access, network egress controls, and CI/CD pipeline security Secure AI Integration Guidance: Advise client teams on securely integrating SaaS AI services and APIs (e.g., OpenAI, Azure OpenAI, AWS Bedrock) into enterprise applications, including safe handling of credentials, outputs, and user data Data Security & Privacy Controls: Evaluate and recommend controls for data ingestion pipelines, RAG architectures, and vector databases to prevent unauthorized data exposure, leakage through model outputs, or non-compliant data processing — including zero data retention enforcement, sensitivity labeling, data classification, and encryption key management Shadow AI Discovery: Conduct shadow AI discovery engagements to inventory unsanctioned AI tool usage and assess associated data exposure risks across client environments Security Controls & Guardrails Evaluation: Evaluate security controls and guardrails across AI platforms, including identity and access management, DLP integration, conditional access policies, SIEM and logging configurations, human-in-the-loop mechanisms, and AI-specific runtime protections Agentic Workflow Development: Design, build, and deploy AI agent workflows including use-case design, agent architecture, and integration with security tooling and automation platforms Security Architecture Reviews: Perform security architecture reviews for organizations deploying AI agents that connect to tools, data sources, or other agents via MCP or agentic frameworks, delivering reference architectures and recommendations Security Documentation & Deliverables: Develop and deliver engagement artifacts including secure configuration review reports, prioritized findings registers, AI security control matrices, reference architectures, risk assessments, control frameworks, and secure enablement roadmaps Strategic AI Security Roadmap: Contribute to the development of long-term AI security strategies for clients, including prioritized remediation roadmaps, capability maturity assessments, and investment recommendations Collaboration & Stakeholder Engagement: Serve as a trusted security advisor bridging business stakeholders, AI/ML engineers, IT operations, and information security teams — conducting stakeholder interviews and facilitating knowledge transfer sessions covering AI platform administration, troubleshooting, and operational runbooks AI Threat Landscape Monitoring: Continuously track emerging AI security research, adversarial techniques, regulatory developments, and vendor security advisories (e.g., Anthropic, OpenAI, Microsoft feature releases) to keep client guidance relevant and proactive Required Experience and Education: 3+ years of experience in security engineering with a significant focus on cloud security and/or application security Hands-on experience implementing, managing, securing, and supporting agentic AI solutions within an enterprise context, including enterprise AI platforms such as Anthropic Claude (Enterprise, Desktop, Cowork, Code), OpenAI (ChatGPT Enterprise, Codex, API), or Microsoft Copilot Familiarity with major cloud service provider AI-focused services such as AWS Bedrock, AWS SageMaker, Azure AI Foundry, or Google Vertex Solid understanding of generative AI concepts, Large Language Models (LLMs), context engineering, agentic tool usage, and foundational AI/ML principles Operational experience in the usage of agentic coding assistants such as Claude Code, Open Code, Cursor, or Codex Understanding of AI-specific security challenges including prompt injection, data poisoning, supply chain security, model extraction attacks, excessive agency, and privilege escalation through tool chaining Ability to produce professional client-facing deliverables including assessment reports, findings registers, control matrices, and reference architecture documentation Strong written and verbal communication skills with the ability to explain complex technical concepts to both technical and non-technical audiences Embraces emerging technologies, including AI tools, to work smarter, solve problems, and drive better business outcomes Preferred Experience and Education Certifications such as AWS Certified AI Practitioner, AWS Certified Machine Learning Engineer, Azure AI Engineer Associate, or Claude Certified Architect Understanding or experience with model fine-tuning techniques Experience with policy as code languages like Cedar or Rego and Infrastructure as Code (IaC) tools like AWS CloudFormation, Terraform, OpenTofu, or equivalent technologies Experience designing and implementing agentic AI architectures that balance security and autonomy Familiarity with MCP client/server architecture vs. agentic skills and the associated security risks of each Experience with AI security tooling categories such as AI Security Posture Management (AISPM), AI runtime protection, or AI control plane platforms Prior experience in a consulting, professional services, or managed services delivery model with direct client engagement Travel Requirements: Up to 10% travel Physical Requirements: Sedentary work Substantial movement of the wrists, hands, and/or fingers for a minimum of 8 hours a day Required to have close visual acuity to view computer terminal and/or extensive reading for a minimum of 8 hours a day We use Greenhouse Software as our applicant tracking system and Zoom Scheduler for HR screen request scheduling. At times, your email may block our communication with you. Please be sure to check your SPAM folder so that you don't miss updates on your application. Why GuidePoint? GuidePoint Security is a rapidly growing, profitable, privately-held value added reseller that focuses exclusively on Information Security. Since its inception in 2011, GuidePoint has grown to over 1,300 employees, established strategic partnerships with leading security vendors, and serves as a trusted advisor to more than 6,200 customers. Firmly-defined core values drive all aspects of the business, which have been paramount to the company’s success and establishment of an enjoyable workplace atmosphere. At GuidePoint, your colleagues are knowledgeable, skilled, and experienced and will seek to collaborate and provide mentorship and guidance at every opportunity. This is a unique and rare opportunity to grow your career along with one of the fastest growing companies in the nation. Some added perks…. Remote workforce primarily (U.S. based only, some travel may be required for certain positions, working on-site may be required for Federal positions) Group Medical Insurance options: Zero Deductible PPO Plan (GuidePoint pays 90% of the premium for employees and 70% for family plans (spouse/children/family) or High Deductible Health Plan with HSA (GuidePoint pays 100% of the employees premiums and 75% for family plans (spouse/children/family). If you choose the High Deductible / HSA plan, GPS will contribute in 4 equal quarterly installments: ($850 per EE annually / $1750 per family annually (includes spouse/children/family options) Group Dental Insurance: GuidePoint pays 100% of the premium for employees and 75% of family plans 12 corporate holidays and a Flexible Time Off (FTO) program Healthy mobile phone and home internet allowance Eligibility for retirement plan after 2 months at open enrollment Pet Benefit Option 6d:T2a47,

GuidePoint Security provides trusted cybersecurity expertise, solutions and services that help organizations make better decisions and minimize risk. By taking a three-tiered, holistic approach for evaluating security posture and ecosystems, GuidePoint enables some of the nation’s top organizations, such as Fortune 500 companies and U.S. government agencies, to identify threats, optimize resources and integrate best-fit solutions that mitigate risk.

General Description

The GuidePoint Security North Central region is seeking a skilled AI Security Engineer to join our growing AI Security Services team within the Automation and AI Practice. You will assist customers in the design, implementation, security, and operational management of generative AI security solutions — including AI governance assessments, LLM and agent security testing, shadow AI discovery, agentic workflow development, and architecture reviews.

About the North Central AI Security Practice

You will work closely with peers across multiple domains including AppSec, Cloud Security, and Identity and Access Management to deliver holistic and secure solutions adhering to industry best practices. This role offers the opportunity to contribute directly to the continued growth of our AI security practice and its expanding service portfolio.

Roles and Responsibilities:

AI Security Architecture & Assessment: Conduct secure configuration reviews and security assessments of enterprise AI platforms (e.g., Anthropic Claude Enterprise, OpenAI ChatGPT Enterprise, Microsoft Copilot) against established control domains — including identity and provisioning, network and access enforcement, data protection and retention, and audit and compliance — identifying vulnerabilities, attack surfaces, and gaps against industry frameworks (e.g., OWASP LLM Top 10, MITRE ATLAS)
Threat Modeling for AI Systems: Lead threat modeling exercises specific to AI workloads, covering prompt injection, model inversion, data poisoning, supply chain risks, excessive agency, privilege escalation through tool chaining, and unauthorized cross-application data movement across SaaS, self-hosted, and local AI deployments
AI Coding Tool & Development Environment Security: Assess AI coding tools and development environments — including Claude Code, OpenAI Codex, Open Code, Cursor, and MCP servers — for sandbox isolation, plugin allowlisting, secrets access, network egress controls, and CI/CD pipeline security
Secure AI Integration Guidance: Advise client teams on securely integrating SaaS AI services and APIs (e.g., OpenAI, Azure OpenAI, AWS Bedrock) into enterprise applications, including safe handling of credentials, outputs, and user data
Data Security & Privacy Controls: Evaluate and recommend controls for data ingestion pipelines, RAG architectures, and vector databases to prevent unauthorized data exposure, leakage through model outputs, or non-compliant data processing — including zero data retention enforcement, sensitivity labeling, data classification, and encryption key management
Shadow AI Discovery: Conduct shadow AI discovery engagements to inventory unsanctioned AI tool usage and assess associated data exposure risks across client environments
Security Controls & Guardrails Evaluation: Evaluate security controls and guardrails across AI platforms, including identity and access management, DLP integration, conditional access policies, SIEM and logging configurations, human-in-the-loop mechanisms, and AI-specific runtime protections
Agentic Workflow Development: Design, build, and deploy AI agent workflows including use-case design, agent architecture, and integration with security tooling and automation platforms
Security Architecture Reviews: Perform security architecture reviews for organizations deploying AI agents that connect to tools, data sources, or other agents via MCP or agentic frameworks, delivering reference architectures and recommendations
Security Documentation & Deliverables: Develop and deliver engagement artifacts including secure configuration review reports, prioritized findings registers, AI security control matrices, reference architectures, risk assessments, control frameworks, and secure enablement roadmaps
Strategic AI Security Roadmap: Contribute to the development of long-term AI security strategies for clients, including prioritized remediation roadmaps, capability maturity assessments, and investment recommendations
Collaboration & Stakeholder Engagement: Serve as a trusted security advisor bridging business stakeholders, AI/ML engineers, IT operations, and information security teams — conducting stakeholder interviews and facilitating knowledge transfer sessions covering AI platform administration, troubleshooting, and operational runbooks
AI Threat Landscape Monitoring: Continuously track emerging AI security research, adversarial techniques, regulatory developments, and vendor security advisories (e.g., Anthropic, OpenAI, Microsoft feature releases) to keep client guidance relevant and proactive

Required Experience and Education:

3+ years of experience in security engineering with a significant focus on cloud security and/or application security
Hands-on experience implementing, managing, securing, and supporting agentic AI solutions within an enterprise context, including enterprise AI platforms such as Anthropic Claude (Enterprise, Desktop, Cowork, Code), OpenAI (ChatGPT Enterprise, Codex, API), or Microsoft Copilot
Familiarity with major cloud service provider AI-focused services such as AWS Bedrock, AWS SageMaker, Azure AI Foundry, or Google Vertex
Solid understanding of generative AI concepts, Large Language Models (LLMs), context engineering, agentic tool usage, and foundational AI/ML principles
Operational experience in the usage of agentic coding assistants such as Claude Code, Open Code, Cursor, or Codex
Understanding of AI-specific security challenges including prompt injection, data poisoning, supply chain security, model extraction attacks, excessive agency, and privilege escalation through tool chaining
Ability to produce professional client-facing deliverables including assessment reports, findings registers, control matrices, and reference architecture documentation
Strong written and verbal communication skills with the ability to explain complex technical concepts to both technical and non-technical audiences
Embraces emerging technologies, including AI tools, to work smarter, solve problems, and drive better business outcomes

Preferred Experience and Education

Certifications such as AWS Certified AI Practitioner, AWS Certified Machine Learning Engineer, Azure AI Engineer Associate, or Claude Certified Architect
Understanding or experience with model fine-tuning techniques
Experience with policy as code languages like Cedar or Rego and Infrastructure as Code (IaC) tools like AWS CloudFormation, Terraform, OpenTofu, or equivalent technologies
Experience designing and implementing agentic AI architectures that balance security and autonomy
Familiarity with MCP client/server architecture vs. agentic skills and the associated security risks of each
Experience with AI security tooling categories such as AI Security Posture Management (AISPM), AI runtime protection, or AI control plane platforms
Prior experience in a consulting, professional services, or managed services delivery model with direct client engagement

Travel Requirements:

Up to 10% travel

Physical Requirements:

Sedentary work
Substantial movement of the wrists, hands, and/or fingers for a minimum of 8 hours a day
Required to have close visual acuity to view computer terminal and/or extensive reading for a minimum of 8 hours a day

We use Greenhouse Software as our applicant tracking system and Zoom Scheduler for HR screen request scheduling. At times, your email may block our communication with you. Please be sure to check your SPAM folder so that you don't miss updates on your application.

Why GuidePoint?

GuidePoint Security is a rapidly growing, profitable, privately-held value added reseller that focuses exclusively on Information Security. Since its inception in 2011, GuidePoint has grown to over 1,300 employees, established strategic partnerships with leading security vendors, and serves as a trusted advisor to more than 6,200 customers.

Firmly-defined core values drive all aspects of the business, which have been paramount to the company’s success and establishment of an enjoyable workplace atmosphere. At GuidePoint, your colleagues are knowledgeable, skilled, and experienced and will seek to collaborate and provide mentorship and guidance at every opportunity.

This is a unique and rare opportunity to grow your career along with one of the fastest growing companies in the nation.

Some added perks….

Remote workforce primarily (U.S. based only, some travel may be required for certain positions, working on-site may be required for Federal positions)
Group Medical Insurance options: Zero Deductible PPO Plan (GuidePoint pays 90% of the premium for employees and 70% for family plans (spouse/children/family) or High Deductible Health Plan with HSA (GuidePoint pays 100% of the employees premiums and 75% for family plans (spouse/children/family). If you choose the High Deductible / HSA plan, GPS will contribute in 4 equal quarterly installments: ($850 per EE annually / $1750 per family annually (includes spouse/children/family options)
Group Dental Insurance: GuidePoint pays 100% of the premium for employees and 75% of family plans
12 corporate holidays and a Flexible Time Off (FTO) program
Healthy mobile phone and home internet allowance
Eligibility for retirement plan after 2 months at open enrollment
Pet Benefit Option

6e:T1be0,About the Team The Supply Chain Technology team within OpenAI’s Enterprise Platform & Technology builds and scales the systems and data architecture that power our core supply chain operations. We enable operational agility, visibility, and execution across planning through fulfillment and partner operations. Our focus is on modernizing workflows through strategic integrations, scalable automation, and seamless data flows empowering better decisions, reliable operations, and sustainable growth as OpenAI evolves. About the Role As a Senior Integrations Engineer, you will design, build, and operate the integrations and custom applications that connect OpenAI’s supply chain ecosystem. You will combine integration platforms, Python development, and APIs to deliver reliable data flows across enterprise systems, internal applications, and external partners. You will partner closely with Hardware Operations, Application Engineers, Product Managers, IT, and business teams to improve data integrity, automate operational workflows, and support the transition from legacy systems to modern cloud platforms. This is a hands-on engineering role with ownership across architecture, implementation, deployment, and ongoing production support. In this role, you will Define integration architecture and reusable design patterns across the supply chain technology landscape, balancing reliability, security, maintainability, and delivery speed. Build and support integrations connecting ERP and SCM systems, internal applications, e-commerce platforms, third-party logistics providers (3PLs), contract manufacturers (CMs), retailers, and distributors. Develop workflows, APIs, event-driven services, and batch and file interfaces, choosing the appropriate combination of platform capabilities and custom code. Build production Python applications, integration services, reusable connectors, and operational tools with automated tests and maintainable interfaces. Implement API and EDI partner integrations, including data mappings, partner onboarding, end-to-end testing, and transaction reconciliation. Develop Model Context Protocol (MCP) servers, tools, and plugins that connect AI-enabled applications to supply chain systems, with appropriate authorization, validation, audit trails, and transaction approvals. Own production reliability through monitoring, alerting, incident response, and recovery. Diagnose and resolve data synchronization errors, API failures, and performance bottlenecks. Embed access controls, segregation of duties, and auditability into integration design to support SOX compliance and internal control requirements. You might thrive in this role if you Bring 10+ years of experience in integration development, architecture, and design, with a track record of delivering and operating production systems. Have hands-on proficiency with at least two integration platforms, such as Workato, MuleSoft, or Oracle Integration Cloud (OIC). Use Python as a primary development language and have built production applications or integration services with automated testing and sound engineering best practices. Have worked in high-volume environments such as customer-facing e-commerce and understand the supply chain processes behind order management, inventory, fulfillment, and returns. Understand integration patterns, REST and SOAP services, asynchronous messaging, EDI, and data formats such as JSON, XML, and CSV. Have directly built or maintained third-party API integrations and understand OAuth, webhooks, rate limits, pagination, retries, idempotency, and failure recovery. Are comfortable working with AWS or Azure and supporting technologies such as Kafka, PostgreSQL, Redis, or Elasticsearch. Have experience with microservices and containerized applications using Docker and Kubernetes. Take ownership of systems throughout their production lifecycle, participate in on-call support, and prioritize reliability and operational readiness. Communicate technical issues and business impact clearly to both engineering teams and nontechnical stakeholders. Work independently, navigate ambiguity, and turn business needs into practical technical solutions. Nice to Have Experience building integrations to and from Oracle Fusion ERP or SCM, particularly across planning, procurement, manufacturing, inventory, logistics, and order management. Experience developing MCP servers, plugins, or agentic automation for enterprise workflows. Regular use of AI coding tools such as Codex, with a disciplined approach to reviewing, testing, and validating generated code. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.6f:T2501,

About the Team

The Supply Chain Technology team within OpenAI’s Enterprise Platform & Technology builds and scales the systems and data architecture that power our core supply chain operations. We enable operational agility, visibility, and execution across planning through fulfillment and partner operations. Our focus is on modernizing workflows through strategic integrations, scalable automation, and seamless data flows empowering better decisions, reliable operations, and sustainable growth as OpenAI evolves.

About the Role

As a Senior Integrations Engineer, you will design, build, and operate the integrations and custom applications that connect OpenAI’s supply chain ecosystem. You will combine integration platforms, Python development, and APIs to deliver reliable data flows across enterprise systems, internal applications, and external partners.

You will partner closely with Hardware Operations, Application Engineers, Product Managers, IT, and business teams to improve data integrity, automate operational workflows, and support the transition from legacy systems to modern cloud platforms. This is a hands-on engineering role with ownership across architecture, implementation, deployment, and ongoing production support.

In this role, you will

Define integration architecture and reusable design patterns across the supply chain technology landscape, balancing reliability, security, maintainability, and delivery speed.
Build and support integrations connecting ERP and SCM systems, internal applications, e-commerce platforms, third-party logistics providers (3PLs), contract manufacturers (CMs), retailers, and distributors.
Develop workflows, APIs, event-driven services, and batch and file interfaces, choosing the appropriate combination of platform capabilities and custom code.
Build production Python applications, integration services, reusable connectors, and operational tools with automated tests and maintainable interfaces.
Implement API and EDI partner integrations, including data mappings, partner onboarding, end-to-end testing, and transaction reconciliation.
Develop Model Context Protocol (MCP) servers, tools, and plugins that connect AI-enabled applications to supply chain systems, with appropriate authorization, validation, audit trails, and transaction approvals.
Own production reliability through monitoring, alerting, incident response, and recovery. Diagnose and resolve data synchronization errors, API failures, and performance bottlenecks.
Embed access controls, segregation of duties, and auditability into integration design to support SOX compliance and internal control requirements.

You might thrive in this role if you

Bring 10+ years of experience in integration development, architecture, and design, with a track record of delivering and operating production systems.
Have hands-on proficiency with at least two integration platforms, such as Workato, MuleSoft, or Oracle Integration Cloud (OIC).
Use Python as a primary development language and have built production applications or integration services with automated testing and sound engineering best practices.
Have worked in high-volume environments such as customer-facing e-commerce and understand the supply chain processes behind order management, inventory, fulfillment, and returns.
Understand integration patterns, REST and SOAP services, asynchronous messaging, EDI, and data formats such as JSON, XML, and CSV.
Have directly built or maintained third-party API integrations and understand OAuth, webhooks, rate limits, pagination, retries, idempotency, and failure recovery.
Are comfortable working with AWS or Azure and supporting technologies such as Kafka, PostgreSQL, Redis, or Elasticsearch.
Have experience with microservices and containerized applications using Docker and Kubernetes.
Take ownership of systems throughout their production lifecycle, participate in on-call support, and prioritize reliability and operational readiness.
Communicate technical issues and business impact clearly to both engineering teams and nontechnical stakeholders.
Work independently, navigate ambiguity, and turn business needs into practical technical solutions.

Nice to Have

Experience building integrations to and from Oracle Fusion ERP or SCM, particularly across planning, procurement, manufacturing, inventory, logistics, and order management.
Experience developing MCP servers, plugins, or agentic automation for enterprise workflows.
Regular use of AI coding tools such as Codex, with a disciplined approach to reviewing, testing, and validating generated code.

About OpenAI

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

OpenAI Global Applicant Privacy Policy

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LUMA is its internal startup based in Salt Lake City, building a drive-through vehicle inspection scanner using multi-camera capture and sensor technology for real-time damage assessment and repair estimation.","location":"Salt Lake City","remote":false,"workMode":"onsite","employmentType":"full-time","category":"ai-assisted","occupation":"software-engineering","seniority":"mid","minYearsExperience":3,"visaSponsorship":null,"salaryMin":null,"salaryMax":null,"salaryCurrency":null,"salaryPeriod":null,"postedDate":"2026-10-06T14:22:20.189+00:00","postedDaysAgo":1,"applyUrl":"https://jobs.ashbyhq.com/tractable/5247ca75-f4ab-401f-86fc-7791aaeadb7f","description":"$50","descriptionHtml":"$51","tools":["claude code","codex","cursor"],"stack":["c","c++","can","embedded linux","gpio","i2c","modbus","python","rs-485","spi","uart"]},{"id":"193609","title":"Platform Engineering Team Lead","company":"Lendbuzz","companySlug":"lendbuzz","companyType":"direct_employer","companySummary":"Lendbuzz is a fintech company that develops technology to expand access to credit for underserved borrowers, working with dealers and partners in the auto finance space.","location":"Tel Aviv","remote":false,"workMode":"hybrid","employmentType":"full-time","category":"ai-assisted","occupation":"software-engineering","seniority":"lead","minYearsExperience":5,"visaSponsorship":null,"salaryMin":null,"salaryMax":null,"salaryCurrency":null,"salaryPeriod":null,"postedDate":"2026-10-06T13:49:15.395+00:00","postedDaysAgo":1,"applyUrl":"https://jobs.lever.co/lendbuzz/cb49985a-7683-4c84-88c5-ee4f28d7cd4d","description":"$52","descriptionHtml":"$53","tools":["codex"],"stack":["c#","cdk","crossplane","golang","helm","kotlin","kubernetes","kustomize","python","rust","typescript"]},{"id":"182696","title":"Software Engineer","company":"Mintmcp","companySlug":"mintmcp","companyType":"direct_employer","companySummary":"MintMCP builds infrastructure that gives AI agents governed, scoped access to a company's tools and data (Slack, GitHub, Jira, Snowflake, databases, etc.), providing audit logs and access controls so agents can safely automate work. 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(NASDAQ: NICE) is a publicly traded software company serving over 25,000 businesses globally, including 85 Fortune 100 companies, with products for customer experience management, financial crime prevention, and public safety. The company processes over 120 million customer interactions and monitors 3+ billion financial transactions daily, and employs over 8,500 people across 30+ countries.","location":"India - Pune","remote":false,"workMode":"unclear","employmentType":"unclear","category":"ai-first","occupation":"software-engineering","seniority":"mid","minYearsExperience":3,"visaSponsorship":null,"salaryMin":null,"salaryMax":null,"salaryCurrency":null,"salaryPeriod":null,"postedDate":"2026-10-06T09:56:31+00:00","postedDaysAgo":1,"applyUrl":"https://boards.eu.greenhouse.io/nice/jobs/4990651101?gh_jid=4990651101","description":"$5a","descriptionHtml":"$5b","tools":["claude code","codex"],"stack":["cucumber","hibernate","j2ee","java","json","junit","rest api","spring","spring boot","testng"]},{"id":"189835","title":"Senior Software Engineer, Agentic Harness Quality and Performance","company":"Goodnotes","companySlug":"goodnotes","companyType":"direct_employer","companySummary":"Good Systems is the parent company of Goodnotes, a note-taking and productivity app used by millions, and is expanding into a broader family of AI-native products.","location":"London","remote":false,"workMode":"onsite","employmentType":"full-time","category":"ai-first","occupation":"software-engineering","seniority":"senior","minYearsExperience":5,"visaSponsorship":false,"salaryMin":null,"salaryMax":null,"salaryCurrency":null,"salaryPeriod":null,"postedDate":"2026-10-06T08:14:31+00:00","postedDaysAgo":1,"applyUrl":"https://job-boards.greenhouse.io/goodnotes/jobs/6216615004","description":"$5c","descriptionHtml":"$5d","tools":["claude code","codex","cursor"],"stack":["golang","java","rust","swift","typescript"]},{"id":"118359","title":"Sr. Backend Engineer","company":"Peek","companySlug":"peek","companyType":"direct_employer","companySummary":"Peek provides an AI-powered operating system/booking software platform for the experiences industry, serving museums, attractions, tours, and activities operators such as MoMA, Whitney Museum, and Seattle Aquarium. 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AI-First Jobs for Builders

AI-First Jobs for Builders

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Forward Deployed Engineer, Enterprise Document AI (SF)

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[Job-31930] Senior Data Developer - AI Solutions, Brazil

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